Courses

CFI's Accounting for Financial Analysts Specialization provides a practical understanding of core and advanced accounting concepts.

A practical guide that will help you understand financial statements & do financial analyses during consulting projects What you'll learn: Analyze financial statements of a firm especially income statement, balance sheet, cash flowsCreate a model of profit and loss statement (income statement) in ExcelAnalyze in Excel financial indicators and draw conclusion out of thatEstimate the value of a firm using DCF and multiplier methodYou will understand the main difference between financial statements in USA and EuropeYou will master main bookkeeping / accounting principles What is the aim of this course?During many consulting projects, you will have to analyze financial statements (balance sheet, income statement, cash flows) and draw conclusions about a specific company. This is especially true during due diligence, strategic projects, and turn-arounds. Financial analyses require a relatively good understanding of finance and accounting. Business Analysts and Management Consultants who did not study Finance or Business tend to have some problems with navigating this area. This course will help you overcome this problem. Those of you who have finished Business School or Economics will find here a great refresher with a lot of practical tips on how to do certain analyses during a consulting project.This course will help you drastically improve your knowledge and skills in finance and accounting. It is designed for people who are or want to become management consultants and businesses. In the course you will learn 5 main things:How to read financial statements such as a balance sheet, an income (profit & loss) statement, cash flowsHow to draw conclusions from financial statementsMain principles of accountingHow to analyze financial indicatorsHow to estimate the value of the firm / do valuationI will NOT teach you everything about finance & accounting because it is simply not efficient (and frankly you don’t need it). This course is organized around the 80/20 rule and I want to teach you the most useful (from a business analyst/consultant perspective) things that will enable you to understand the financial data and analyze them.This course is based on my 15 years of experience as a consultant in top consulting firms and as a Board Member responsible for strategy, performance improvement, and turn-arounds in the biggest firms from Retail, FMCG, SMG, B2B, and services sectors that I worked for. I have carried out or supervised over 90 different performance improvement projects in different industries that generated a total of 2 billion in additional EBITDA. On the basis of what you will find in this course, I have trained in person over 100 consultants, business analysts, and managers who now are Partners in PE and VC funds, Investment Directors and Business Analysts in PE and VC, Operational Directors, COO, CRO, CEO, Directors in Consulting Companies, Board Members, etc. On top of that my courses on Udemy were already taken by more than 224 000 students including people working in EY, Walmart, Booz Allen Hamilton, Adidas, Naspers, Alvarez & Marsal, PwC, Dell, Walgreens, Orange, and many others.I teach through case studies, so you will have a lot of lectures showing examples of analyses, and tools that we use. To every lecture, you will find attached (in additional resources) the Excels as well as additional presentations, and materials shown in the lectures so as a part of this course you will also get a library of ready-made analyses that can, with certain modifications, be applied by you or your team in your work.Why have I decided to create this course?Analyzing the financial situation of the firm is a fundamental skill in consulting. It helps you understand the current situation of the firm, identify problems, and estimate potential savings. Many Management Consultants and Business Analysts did not finish Business School and sometimes struggled with some financial analyses. This sometimes puts them at a disadvantage and makes it difficult for them to get promoted. On top of that, many consultants and analysts who studied finance & accounting at university/college have forgotten some things.Therefore, I have decided to create this course that will help students understand or refresh the essential elements of finance and accounting. The course will give you the knowledge and insight into real-life case studies that will make your life during a consulting project much easier. Thanks to this course, you will know how to understand financial statements, analyze them, and draw conclusions from them. You will also master the basics of valuation.To sum it up, I believe that if you want to become a world-class Management Consultant or Business Analyst you have to have a pretty decent understanding of finance and accounting. That is why, I highly recommend this course to Management Consultants or Business Analysts, especially those who did not finish business school or Economics.In what way will you benefit from this course?The course is a practical, step-by-step guide loaded with tons of analyses, tricks, and hints that will significantly improve your knowledge of finance and accounting. There is little theory – mainly examples, and case studies with a lot of tips from my own experience as well as other notable examples worth mentioning. Our intention is that thanks to the course you will learn:How to read financial statements such as a balance sheet, an income (profit & loss) statement, cash flowsHow to draw conclusions from financial statementsMain principles of accountingHow to analyze financial indicatorsHow to estimate the value of the firm / do valuationYou can also ask me questions through the discussion field or by messaging me directly.How the course is organized?The course is divided into the following sections:Introduction. We begin with a little intro to the course. I will show you here what you can expect from this course and how it is organizedProfit & Loss statement. In the second section, I will concentrate on the first financial statement the income statement often called the profit & loss statement (P&L). I will show you step by step all the elements of the profit and loss statement. We will also look at examples of P&Ls for firms like Amazon, Disney, P&G, and LPP. We will devote a lot of time to depreciation and amortizationModeling of Profit & Loss Statement for FMCG Firm. In this section, I will show you an example of how to model the profit & loss statement in Excel for the FMCG business model.Balance Sheet. In the 4th section, I will concentrate on the second financial statement – the balance sheet. As always we will go through every element of the Balance Sheet. We will also discuss the difference between the USA and European balance sheets. We will also look at examples of balance sheets for firms like Amazon, Disney, P&G, and LPP.Cash flow statement/statement of cash flows. In this section, I will concentrate on the last financial statement – the cash flow. I will show you step by step all elements of cash flow. We will also look at examples of cash flows for firms like Amazon, Disney, P&G, and LPP.Financial analysis of indicators. In this section, we will have a look at different sets of financial indicators that you can use to analyze a firm. We will have a look at Profitability ratios, ROE Decomposition (DuPont Model), Liquidity ratios, Activity ratios, and Debt ratios. We will also calculate them for Amazon so you can see how to use those ratios in practice.Valuation. In the last section, we will discuss different methods of evaluating the firm (estimating its valuation). We will have a look at the DCF methods as well as the Multiplier methods. We will use a case study to see how these methods work in practice.You will also be able to download many additional resources Excels with analyses shown in the coursePresentation of slides shown in the courseLinks to additional presentations and moviesLinks to books worth readingAt the end of my course, students will be able to…Analyze the financial statements of a firm, especially income statements, balance sheets, and cash flowsCreate a model of profit and loss statement (income statement) in ExcelAnalyze in Excel financial indicators and draw conclusions from thatEstimate the value of a firm using DCF and multiplier methodYou will understand the main difference between financial statements in the USA and EuropeYou will master the main bookkeeping/accounting principlesWho should take this course? Who should not?Management ConsultantsBusiness AnalystsStartups foundersManagersStudents who did not finish business schoolStudents who want to refresh their knowledge about Finance & Accounting

This eight-course Professional Certificate from IBM prepares you with job-ready skills for an entry level data analyst role. Position yourself competitively and power your data analyst career for a job in a thriving market or leverage foundational data skills to explore problems in an increasingly data-driven professional world. The U.S. Bureau of Labor Statistics projects a growth rate of 20% in the data analytics industry until 2028. You will learn the core principles of data analysis, participate in hands-on skills-based practice, and gain the knowledge to help companies make smarter business decisions. You will work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics. These online learning tools will offer you practical experience with data manipulation and the application of analytical and data visualization techniques. This Professional Certificate does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees. A willingness to learn, basic computer literacy, comfort working with numbers, high school math, and a desire to enrich your profile with valuable skills is all you need to get started in this course. With the IBM Data Analyst Professional Certificate you will develop the confidence and portfolio to begin a career as an associate or junior data analyst by learning the essential skills that help professionals in a wide range of job functions and industries explore business problems.

Clean up messy data, uncover patterns and insights, and communicate your findings. You'll start with an introduction to data analysis tools, including Jupyter Notebook, NumPy, pandas, and Matplotlib. Using these tools, you will ask questions about data and answer them through data collection, exploration, wrangling, and visualization. This intermediate-level program includes real-world projects where you will choose your own datasets, research questions, and analysis approach. As you progress through the program, each course will repeat the data analysis process while introducing more advanced techniques, such as applying data imputation to fill in missing data and applying appropriate encodings when developing data visualizations.

The goal of the Security Analyst Nanodegree Program is to equip students with the skills required to be successful in an analyst role.

The US Bureau of Labor Statistics projects a 23% increase in cybersecurity jobs to 2033. The demand for cybersecurity analysts is growing ever stronger! What do cybersecurity analysts do? Cybersecurity analysts protect an organization's digital assets by identifying, analyzing, and mitigating security threats, ensuring data and systems remain secure against cyberattacks. This IBM Cybersecurity Professional Certificate has been designed by industry experts to provide you with the job-ready cybersecurity and digital forensic skills you need to jumpstart your cybersecurity career. No prior cybersecurity experience is required. To begin, you’ll build your foundational knowledge of cybersecurity essentials, tools, and technologies, operating systems, networking fundamentals, and the basics of cyberattacks. You’ll explore database fundamentals and vulnerabilities and learn about the steps a cybersecurity analyst would take to prevent, manage, and mitigate cybersecurity attacks. Plus, you’ll learn about cybersecurity architecture, compliance frameworks, standards, and regulations. You’ll also explore gen AI for cybersecurity and build valuable skills and hands-on experience in penetration testing, incident response, forensics, and threat intelligence. You’ll work on real-world projects developing cybersecurity plans and compliance frameworks, giving you great practical work to talk about in interviews. Plus, you’ll use real-world case studies that demonstrate that you can: Apply incident response methodologies and forensics practices. Use industry-specific security tools. Apply cybersecurity industry standards and best practices that mitigate risks, enhance security, and ensure compliance through audit processes. Use gen AI tools to boost cybersecurity effectiveness and productivity. Investigate a real-world security breach by identifying the attack, vulnerabilities, costs, and prevention. Take advantage of the insights provided by seasoned industry experts to guide your job search, resume creation, and Interviewing to help you land your first cybersecurity role. This program will also prepare you to take and earn a 30% discount on the CompTIA Security+ and CySA+ certification exams. After successfully completing this program, you’ll have an industry-recognized IBM Professional Certificate that you can add to your resume and portfolio. If you’re looking to kickstart your cybersecurity career as a sought-after analyst, ENROLL TODAY, and look forward to being job-ready in less than 6 months!

Understand Data Security What you'll learn: Deep knowledge of organization’s IT Systems.IT Security threat analysis and management.IT Security maintenance, training and supportIT security fixes, tools, countermeasures, testing plus upgrade paths This course is designed for anyone who wants to understand the analysis of data security. More than ever, information security analysts are needed to rescue companies when they have been hacked or breached, as well as to put in place controls and counter-measures to avert cyber attacks.Gain the skills required to detect and mitigate information and cyber security threats and vulnerabilities. The security analyst role is an entry point to many other security specialties and is highly in-demand in today’s evolving threat environment.In the fast moving world of cyber security, with new threats evolving daily, up to date knowledge and skills that involves protecting systems and networks of companies and other assets containing mission-critical data as well as designing and developing new security solutions routinely to stay ahead of the hackers and cyber attackers.Learn the essential prerequisites for your career success! ENROLL TODAY!

Step into the fast-growing world of data analytics with the Data Analyst program. This comprehensive, beginner-friendly series of courses from Microsoft will equip you with essential skills to collect, clean, model, and visualize data using Power BI—a leading business intelligence platform. Through hands-on projects and interactive lessons, you’ll learn how to turn raw data into actionable insights, build compelling dashboards, and effectively communicate trends and findings to stakeholders. Whether you're aiming to launch a new career in data analysis or upskill in your current role, this program offers the practical knowledge and tools to succeed in today’s data-driven job market.

Unlocking the Power of Partnership Accounting: Strategies for Effective Management and Financial Decision Making What you'll learn: Define partnerships and differentiate them from other business entities, discussing their legal and operational characteristics.Analyze the process of forming a partnership, including capital contributions, partner agreements, and the establishment of capital accounts.Evaluate methods for allocating net income among partners, such as the income-sharing ratio, salary allowances, and interest on capital.Record partner withdrawals, including guaranteed payments and distributions, and understand their impact on partner capital accounts.Demonstrate the closing process for partnerships, including the transfer of net income/loss to individual partners' capital accounts.Discuss the treatment of partner changes, including admission of new partners and retirement/withdrawal of existing partners.Explain the liquidation process of a partnership, covering the sale of assets, settlement of liabilities, and distribution of remaining assets.Define key terms related to partnerships, such as general partner, limited partner, dissolution, winding up, and partnership agreement. Welcome to the comprehensive course on partnership accounting! Whether you're a student, aspiring accountant, or small business owner, this course is designed to provide you with a deep understanding of partnership accounting principles and practices.Throughout this course, we will explore the unique aspects of partnership entities, comparing them to other business structures such as sole proprietorships and corporations. By examining their similarities and differences, you will gain a comprehensive understanding of partnership accounting.We will begin by delving into the process of setting up a partnership, covering essential topics such as partner contributions, capital accounts, and the legal requirements involved. Understanding the initial steps of partnership formation is crucial for accurate accounting.Next, we will focus on one of the key distinctions of partnership accounting: the allocation of net income to partners. We will explore various methods and strategies for distributing profits among partners, taking into account factors such as capital contributions, profit-sharing ratios, and partnership agreements.The course will also cover the recording of partner withdrawals, also known as draws, and the closing process for partnerships. We will discuss the necessary journal entries, adjustments, and financial statement preparation to ensure accurate reporting at the end of an accounting period.In addition, we will address scenarios involving changes in partnership composition. You will learn how to record transactions related to partner retirements, admissions, and changes in profit-sharing ratios. These topics are critical for understanding the dynamic nature of partnership accounting.Furthermore, we will explore the partnership liquidation process, which involves winding up the business and distributing assets among partners. Understanding the steps involved in the liquidation process is essential for managing the financial affairs of a partnership.As you progress through the course, you will have access to a range of valuable resources. Downloadable PDF files will provide offline reference materials, while preformatted Excel practice files will enhance your skills in performing partnership accounting calculations. Multiple-choice and short calculation practice questions will help reinforce your understanding, and discussion questions will foster interactive learning and encourage you to share insights with fellow students.Rest assured, you will be learning from a highly qualified instructor with extensive experience in accounting concepts, software applications, and curriculum development. With their CPA, CGMA, and MSc in Taxation qualifications, as well as their teaching expertise, you can trust that you're receiving instruction from an industry professional who understands the practical application of partnership accounting.Enroll now and embark on a comprehensive journey into partnership accounting. Enhance your knowledge, develop valuable skills, and gain confidence in navigating the unique accounting challenges faced by partnership entities.

Learn the basics of managerial accounting to help you make better organizational decisions.

Accounting 303: Cost Accounting has been evaluated and recommended for 3 semester hours and may be transferred to over 2,000 colleges and universities. Enjoy access to fun lessons that make it easy to understand cost accounting, short quizzes and other online tools designed to get you on the right path toward achieving your educational goals.

Accounting 101: Financial Accounting has been evaluated and recommended for 3 semester hours and may be transferred to over 2,000 colleges and universities. This convenient online course offers expert instruction on financial accounting essentials. Take the course at your own pace and use it to apply for transfer credit.

M&A Accounting & Purchase Price Allocation Course OverviewAn analyst must understand mergers and acquisition accounting, as it’s crucial when properly building an M&A model and evaluating whether the deal makes financial sense. In this course, we cover the M&A accounting process, including fair value adjustments, calculating goodwill, deferred taxes, and various related fees and expenses. We also cover how a deal can be structured as either a stock purchase or an asset purchase and the resulting accounting implications. We will practice adding transaction adjustments to calculate a pro forma balance sheet, but we will also look at the impact of a transaction on the income statement and cash flow statement. M&A Accounting & Purchase Price Allocation Learning Objectives Upon completing this course, you will be able to: Learn the difference between mergers and acquisitions, as well as the reasons to engage in M&AUnderstand how an acquisition changes some of the core accounting principlesIncorporate fair value adjustments and the impact on deferred taxesCalculate goodwill and what it representsRecognize how the deal structure may change the accounting for certain itemsIdentify the treatment of debt issuance fees and transaction expenses Who Should Take This Course? This class is designed for analysts to better understand the underlying accounting rules for an acquisition. Understanding the accounting helps an analyst better evaluate the merits of a proposed transaction. Courses we recommend you take in advance These prerequisite courses are optional, but we recommend you complete the stated prep course(s) or possess the equivalent knowledge prior to enrolling in this course: Accounting Fundamentals

Hands-On Data Analysis with SQL What you'll learn: Analyse and manipulate dataCreate Database and TablesAnalyse data using aggregate functionsAnalyse data using analytic functionsAnalyse data using ranking functionsAnalyse data using various operatorsAnalyse data using sub queriesAnalyse data using views A SQL data analyst is a data scientist that uses the SQL language to interpret data. This analysis is used to improve business information and provide new insights to managers.SQL data analysts design scripts and programs to perform specific database functions and to analyse and maintain data. Some SQL Data Analyst Duties and ResponsibilitiesDuties vary for SQL data analysts based on the specific needs of the hiring company and the amount of data being analysed. However, these core tasks are commonly associated with this job:Integrate DataSQL data analysts integrate data from multiple data sets into o:ne database system to streamline information.Create Database FunctionsSQL data analysts program specific database functions to create database triggers and design data tables.Design ReportsAfter reviewing and analysing data, SQL data analysts design reports to show statistics and other information about specific database topics.Clean DatabaseSQL data analysts remove dead data files and other irrelevant information to free up database space.Write ScriptsSQL data analysts write scripts to analyse data and perform specific data queries.Resolve Data IssuesSQL data analysts isolate and resolve issues with data and databases.Add DataSQL data analysts collect data from multiple sources and add it to the database. We will be performing data analysis using SQL on relational databases like: MySQL, PostgreSQL and MS SQL Server.A relational database is a type of database. It uses a structure that allows us to identify and access data in relation to another piece of data in the database. Often, data in a relational database is organized into tables. A relational database includes tables containing rows and columns. For example, a typical business order entry database would include a table that describes a customer with columns for name, address, phone number and so forth.SQL or Structured Query Language is a critical tool for data professionals. It is undoubtedly the most important language for getting a job in the field of data analysis or data sciences. Millions of data points are being generated every minute. And raw data does not have any story to tell. After all this data gets stored in databases and professionals use SQL to extract this data for further analysis.

Accounting 302: Advanced Accounting has been evaluated and recommended for 3 semester hours and may be transferred to over 2,000 colleges and universities. With this self-paced course, you get engaging lessons, expert instructors who make even the most challenging accounting topics simple, and an excellent resource for getting a head start on your degree.

Complete Data Analyst Training: Python, NumPy, Pandas, Data Collection, Preprocessing, Data Types, Data Visualization What you'll learn: The course provides the complete preparation you need to become a data analystFill up your resume with in-demand data skills: Python programming, NumPy, pandas, data preparation - data collection, data cleaning, data preprocessing, data visualization; data analysis, data analyticsAcquire a big picture understanding of the data analyst roleLearn beginner and advanced PythonStudy mathematics for PythonWe will teach you NumPy and pandas, basics and advancedBe able to work with text filesUnderstand different data types and their memory usageLearn how to obtain interesting, real-time information from an API with a simple scriptClean data with pandas Series and DataFramesComplete a data cleaning exercise on absenteeism rateExpand your knowledge of NumPy – statistics and preprocessingGo through a complete loan data case study and apply your NumPy skillsMaster data visualizationLearn how to create pie, bar, line, area, histogram, scatter, regression, and combo chartsEngage with coding exercises that will prepare you for the jobPractice with real-world dataSolve a final capstone project The problemMost data analyst, data science, and coding courses miss a critical practical step. They don’t teach you how to work with raw data, how to clean, and preprocess it. This creates a sizeable gap between the skills you need on the job and the abilities you have acquired in training. Truth be told, real-world data is messy, so you need to know how to overcome this obstacle to become an independent data professional.The bootcamps we have seen online and even live classes neglect this aspect and show you how to work with ‘clean’ data. But this isn’t doing you a favour. In reality, it will set you back both when you are applying for jobs, and when you’re on the job.The solutionOur goal is to provide you with complete preparation. And this course will turn you into a job-ready data analyst. To take you there, we will cover the following fundamental topics extensively.Theory about the field of data analyticsBasic PythonAdvanced PythonNumPyPandasWorking with text filesData collectionData cleaningData preprocessingData visualizationFinal practical exampleEach of these subjects builds on the previous ones. And this is precisely what makes our curriculum so valuable. Everything is shown in the right order and we guarantee that you are not going to get lost along the way, as we have provided all necessary steps in video (not a single one skipped). In other words, we are not going to teach you how to analyse data before you know how to gather and clean it.So, to prepare you for the entry-level job that leads to a data science position - data analyst - we created The Data Analyst Course.This is a rather unique training program because it teaches the fundamentals you need on the job. A frequently neglected aspect of vital importance.Moreover, our focus is to teach topics that flow smoothly and complement each other. The course provides complete preparation for someone who wants to become a data analyst at a fraction of the cost of traditional programs (not to mention the amount of time you will save). We believe that this resource will significantly boost your chances of landing a job, as it will prepare you for practical tasks and concepts that are frequently included in interviews.The topics we will cover1. Theory about the field of data analytics2. Basic Python3. Advanced Python4. NumPy5. Pandas6. Working with text files7. Data collection8. Data cleaning9. Data preprocessing10. Data visualization11. Final practical example 1. Theory about the field of data analyticsHere we will focus on the big picture. But don’t imagine long boring pages with terms you’ll have to check up in a dictionary every minute. Instead, this is where we want to define who a data analyst is, what they do, and how they create value for an organization.Why learn it?You need a general understanding to appreciate how every part of the course fits in with the rest of the content. As they say, if you know where you are going, chances are that you will eventually get there. And since data analyst and other data jobs are relatively new and constantly evolving, we want to provide you with a good grasp of the data analyst role specifically. Then, in the following chapters, we will teach you the actual tools you need to become a data analyst.2. Basic PythonThis course is centred around Python. So, we’ll start from the very basics. Don’t be afraid if you do not have prior programming experience.Why learn it?You need to learn a programming language to take full advantage of the data-rich world we live in. Unless you are equipped with such a skill, you will always be dependent on other people’s ability to extract and manipulate data, and you want to be independent while doing analysis, right? Also, you don’t necessarily need to learn many programming languages at once. It is enough to be very skilled at just one, and we’ve naturally chosen Python which has established itself as the number one language for data analysis and data science (thanks to its rich libraries and versatility).3. Advanced PythonWe will introduce advanced Python topics such as working with text data and using tools such as list comprehensions and anonymous functions.Why learn it?These lessons will turn you into a proficient Python user who is independent on the job. You will be able to use Python’s core strengths to your advantage. So, here it is not just about the topics, it is also about the depth in which we explore the most relevant Python tools.4. NumPyNumPy is Python’s fundamental package for scientific computing. It has established itself as the go-to tool when you need to compute mathematical and statical operations.Why learn it?A large portion of a data analyst’s work is dedicated to preprocessing datasets. Unquestionably, this involves tons of mathematical and statistical techniques that NumPy is renowned for. In addition, the package introduces multi-dimensional array structures and provides a plethora of built-in functions and methods to use while working with them. In other words, NumPy can be described as a computationally stable state-of-the-art Python instrument that provides flexibility and can take your analysis to the next level.5. PandasThe pandas library is one of the most popular Python tools that facilitate data manipulation and analysis. It is very valuable because you can use it to manipulate all sorts of information - numerical tables and time series data, as well as text.Why learn it?Pandas is the other main tool an analyst needs to clean and preprocess the data they are working with. Its data manipulation features are second to none in Python because of the diversity and richness it provides in terms of methods and functions. The combined ability to work with both NumPy and pandas is extremely powerful as the two libraries complement each other. You need to be capable to operate with both to produce a complete and consistent analysis independently.6. Working with text filesExchanging information with text files is practically how we exchange information today. In this part of the course, we will use the Python, pandas, and NumPy tools learned earlier to give you the essentials you need when importing or saving data.Why learn it?In many courses, you are just given a dataset to practice your analytical and programming skills. However, we don’t want to close our eyes to reality, where converting a raw dataset from an external file into a workable Python format can be a massive challenge.7. Data collectionIn the real world, you don’t always have the data readily available for you. In this part of the course, you will learn how to retrieve data from an API.Why learn it?You need to know how to source your data, right? To be a well-rounded analyst you must be able to collect data from outside sources. This is rarely a one-click process. This section aims at providing you with all the necessary tools to do that on your own.8. Data cleaningThe next logical step is to clean your data. This is where you will apply the pandas skills acquired earlier in practice. All lessons throughout the course have a real-world perspective.Why learn it?A large part of a data analyst’s job in the real world involves cleaning data and preparing it for the actual analysis. You can’t expect that you’ll deal with flawless data sources, right? So, it will be up to you to overcome this stage and clean your data.9. Data preprocessingEven when your dataset is clean and in an understandable shape, it isn’t quite ready to be processed for visualizations and analysis just yet. There is a crucial step in between, and that’s data preprocessing.Why learn it?Data preprocessing is where a data analyst can demonstrate how good or great they are at their job. This stage of the work requires the ability to choose the right statistical tool that will improve the quality of your dataset and the knowledge to implement it with advanced pandas and NumPy techniques. Only when you’ve completed this step can you say that your dataset is preprocessed and ready for the next part, which is data visualization.10. Data visualizationData visualization is the face of data. Many people look at the data and see nothing. The reason for that is that they are not creating good visualizations. Or even worse – they are creating nice graphs but cannot interpret them accurately.Why learn it?This part of the course will teach you how to use your data to produce meaningful insights. At the end of the day, data charts are what conveys the most information in the shortest amount of time. And nothing speaks better than a well crafted and meaningful data visualization.11. Practical exampleThe course contains plenty of exercises and practical cases. In the end, we have included a comprehensive practical example that will show you how everything you have learned along the way comes nicely together. This is where you will be able to appreciate how far you have come in your journey to becoming a data analyst and starting your data career.What you getA program worth $1,250Active Q&A supportAll the knowledge to become a data analystA community of aspiring data analystsA certificate of completionAccess to frequent future updatesReal-world trainingGet ready to become a data analyst from scratchWhy wait? Every day is a missed opportunity.Click the “Buy Now” button and become a part of our data analyst program today.

Accounting 201 has been evaluated and recommended for 3 semester hours and may be transferred to over 2,000 colleges and universities. With this self-paced course, you get engaging lessons, expert instructors who make even the most challenging accounting topics simple, and an excellent resource for getting a head start on your degree.

Accounting & Bookkeeping Basics. Accounting & Financial Analysis Concepts. Learn Accounting & Bookkeeping. What you'll learn: FREE EBOOK "Bookkeeping & Accounting Basics" (PDF)Basic accounting & bookkeeping conceptsHow to analyze financial statementsUnderstand the Balance Sheet, Income Statement (Profit & Loss Statement), and Cash Flow Statement LEARNACCOUNTINGSTEPBYSTEPAccounting is the language of business. In this course Iwill show you how to do accounting and bookkeeping, and apply those concepts to financial statement analysis. Each lesson is around 3-5 minutes and you can learn at your own pace. If you find traditional bookkeeping textbooks and classes boring and confusing, then this course is perfect for you because Iexplain everything in plain simple language that's easy to understand and fun to learn. WHATSTUDENTSSAYABOUTTHISCOURSE:- “It's good. This is my second course under Mr. Calvin. I find it very simple but really understandable.” - Kimberly B.- "I like that Sir Calvin shares his actual experience. It gives us viewers a glimpse of how Accounting flows in a business." - Cherry A.- "I think this is one of the best course I have seen. Especially, the teaching style is good and understandable." - Durga G.- "I like the way of teaching... like the lectures are simple enough for a student who has never done Financial studies ever. The way financial statements are taught in this lesson is perfect." - Devraj C."The course is simple and easy to understand and gave me useful insights about financial statements." - Deepanshu K.- "I like the speaker's teaching style. He discusses the topic in a simple manner which everyone can relate. I love how he uses the slides which is readable and simple. Overall, I love this course so much." - John U.- "The teaching style is excellent and the videos are very effective for me and the quizzes are helping me to check whether I am attending the lecture sincerely. The course is perfect." - Karan M.- The course is easy to understand. The instructor is very good at explaining. Ialso like that you have references or resources for us to have a copy. Thank you for creating this! The teaching style is very detailed and step by step. There are quizzes and assignments like this and makes us students learn more." - Crizel F.THISCOURSEWILLCOVER:Fundamental accounting &bookkeeping conceptsHow to read a Balance Sheet, Income Statement (Profit &Loss Statement), and Cash Flow StatementFinancial statement analysis to help you decide whether a company is doing well financiallyAnd much more!WHYTHISCOURSE?Taught by a CPA, CA, MBA - Calvin K. LeeCalvin has 15 years of experience in accounting and bookkeeping, and provided consulting services for Fortune 500 companiesCalvin has worked in a Big 4 accounting firm (Ernst &Young LLP)Calvin is a top-rated instructor at Schulich School of Business at York UniversityOver 77,000+ students from 178 countries enrolled in his coursesLifetime access to this course, and you receive new lessons and updates for FREESubtitles (captions) available in EnglishCertificate of Completion available30-day money-back guaranteeREGISTERFORTHISCOURSENOW!

Demystifying Corporate Accounting: An In-depth Exploration of Financial Transactions in Corporations What you'll learn: Analyze the differences and similarities between corporations and other business entities such as partnerships and sole proprietorships.Evaluate the financial transactions related to the issuing of corporate stock for both cash and non-cash assets.Apply the accounting principles to record transactions related to cash dividends and stock dividends.Explain the concept, accounting implications, and the reasons for issuing or acquiring preferred stock.Compare and contrast treasury stock with preferred and common stock.Interpret the equity section of the financial statements, specifically the Statement of Stockholders’ Equity and the Statement of Retained Earnings.Demonstrate understanding of the corporate closing process in comparison to that of partnerships and sole proprietorships.Calculate earnings per share and articulate its significance.Create accounting solutions using Excel for various corporate accounting scenarios. This course is designed to introduce and elaborate on the elements of corporate accounting that set it apart from financial accounting for other business entities such as sole proprietorships or partnerships.Our journey begins with an overview of the corporate entity, its characteristics, and the rationale for choosing this form of business. We will provide you with a thorough understanding of the stark contrasts and similarities between corporations, partnerships, and sole proprietorships.As we delve into the intricacies of issuing stock for corporations, you will learn about the financial transactions related to issuing stock for both cash and non-cash assets. With a focus on dividends, you will gain insight into the different types, specifically cash and stock dividends, and learn how to account for these transactions.One of the key components we will explore is preferred stock. You will understand what it is, how to account for it, and the reasons why a corporation might choose to issue, or an investor might decide to acquire it. We will discuss treasury stock, another important concept, where you will learn to compare and contrast it with preferred and common stock.Further along the course, you will discover the equity section of financial statements. Here we will dissect the Statement of Stockholders’ Equity and the Statement of Retained Earnings, helping you to understand the unique aspects of a corporation's financial statement compared to other business entities.Our detailed discussion on the corporate closing process will provide a comparative view with that of partnerships and sole proprietorships. Understanding the calculation and significance of earnings per share is another crucial aspect that this course covers.A unique aspect of this course is the vast array of learning resources available to you. We have incorporated downloadable PDF Files which provide offline reference information. You will have access to Excel Practice Files that are preformatted, helping you to not only focus on the adjusting process but also to learn some of the basics of Excel such as addition, subtraction, and cell relationships.To boost your test-taking skills, we have prepared multiple-choice example questions. These reduce the information to the size and format of multiple-choice questions while providing insights on how to approach them. For those interested in numerical problem-solving, we have short calculation questions that break down problems into a short format that could be used in multiple choice questions.Lastly, this course promotes engagement with other students through discussion questions. These provide an opportunity to discuss topics from different viewpoints, an approach that many students find very helpful.The instructor leading you through this journey is a seasoned professional, a practicing Certified Public Accountant (CPA) and a Chartered Global Management Accountant (CGMA) with a Master of Science in Taxation. As a Certified Post-Secondary Instructor (CPS) and a Curriculum Development Expert, the instructor has rich experience teaching many accounting classes and working with students in the fields of accounting, business, and business applications. This blend of technical expertise and teaching experience ensures that you are learning from a well-rounded professional who knows the subject matter and understands how to teach it effectively.Whether you're an accounting student, a budding entrepreneur considering a corporate entity, or an accounting professional seeking to upskill, this course will provide you with valuable insights and knowledge in the field of corporate accounting. We look forward to having you join us on this journey.

Master advanced Excel, corporate finance, and corporate valuation in this intensive five-day bootcamp. You’ll learn the terms and vocabulary used within the industry to prepare you for interviews and have a valuation model to present from your portfolio. After this course, you’ll be prepared to work as a financial analyst.Learn Microsoft Excel and Corporate Finance. The five-day Financial Analyst Training program offers the most affordable and comprehensive training available for complete beginners to learn the necessary skills to become a financial analyst. By the end of this course, you’ll have the skills for a position at a Fortune 500 firm. Throughout the course, you’ll develop the following skills:Excel proficiency - Master formulas, functions, and Pivot TablesExcel for Financial Modeling - Learn Goal Seek and other financial functions in ExcelCorporate Finance and Accounting - Learn corporate finance and accounting conceptsFinancial Modeling - Build a three-statement DCF model on a public companyBy the end of this course, you’ll have knowledge of cash flow projection tools in Excel. You’ll develop experience with financial statement analysis and DCF modeling techniques, and corporate valuation principles. Each student will learn to review financial data, including earnings releases, financial reports, and use this information to evaluate business decisions.PrerequisitesNone; Prior knowledge of corporate finance and accounting is helpful, but not required.Course attendees will receive access to our free online corporate finance and accounting materials before the course.The Financial Analyst Training Program IncludesBeginner Microsoft ExcelGet going with the basics of Excel and start working on projects in Excel. Get practice with calculations and formulas, charts and tables, worksheet and workbook formatting, and basic hotkeys to accelerate your workflow. Intermediate Microsoft ExcelTake your Excel skills up a level with this Intermediate Excel course. Learn important Excel functions like VLOOKUP, SUMIFs, and Pivot Tables in this hands-on training. You'll also learn crucial text-related features like splitting and joining text, removing duplicates, and data validation.Financial Modeling BootcampBuild a financial model and learn corporate finance and accounting principles. By the end of this course, you'll have a comprehensive Discounted Cash Flow (DCF) model to add to your portfolio. You'll have a fundamental knowledge of corporate finance and accounting concepts. Finally, your advanced Microsoft Excel skills will aid you in building financial models quickly and accurately.Full Course SyllabusExcel for Business FundamentalsIntroductionFormulasFormattingCharts & TablesWorkbook ManagementEnd of Class ProjectIntermediate Excel for BusinessWorksheet ManagementWorking with TextDatabase FunctionsLogical FunctionsPivot TablesStatistical FunctionsAdvanced ChartsEnd of Class ProjectFinancial Modeling BootcampDay I: Advanced Excel for Financial ModelingDay II: Intro to Corporate Finance, Accounting, & ModelingDay III: In-depth Financial Modeling & ValuationExcel & Financial Modeling Courses for Financial AnalystsTraining Program for Investment Banking, Hedge Funds, Private Equity, Real Estate & Finance ProfessionalsTo become a successful financial analyst, you'll need several skills, including a strong comfort level in Excel, a background in accounting, finance, and valuation, and financial modeling capabilities. This training program is geared toward current or aspiring financial analysts, including investment banking, private equity, hedge funds, asset management, real estate, and venture capital.After completing this program, you will:Go from beginner to advanced in your Excel capabilitiesLearn accounting concepts: Financial statements, working capital, and footnotesLearn financial concepts: Enterprise value, corporate valuation, Discounted Cash Flow Modeling, LBO ModelingBuild financial modeling skills: Learn how to project cash flows for companies in ExcelLearn more about Financial Analyst Training Program at NYC Career Centers