Courses

Economic analysis, Industry analysis,Security Market,Valuation Concepts,How to analyze in stocks,Corporate Actions What you'll learn: Expertise in finding good stocks for investment in long term>200 Questions- Answer self test objective type on course (Quiz)Equity and deb market basic conceptsSecurity marketAble to make research report and manage client portfolioGlobal process of Industry and economic analysisStocks market financial parameters and comparison in same sectorFinancial market concepts (Dividend discount model, Discounted cash flow model, FCFE,FEFF and SOTPHow to analysis stocksBasic concept of financeResearch analyst qualityHelp in getting certificationsCompany analysis (Qualitative and Quantitative)Valuation fundamentalsBasic of finance (Cost of equity, WACC,Equity risk premium, Sharpe Ratio, Beta etc.)Live demo to analyse stock in financial tool with ExampleProcess for calculation of Intrinsic valueHow to make good research report and guidelines for preparingDifferent kind of risk and risk management in financial marketBasic of financial statements, balance sheet, profit loss statements and cash flows This Market Research Analyst course will tell you about the following topics:-Notes: > 200 Questions- Answer self test objective type on course (Quiz) 1. Fundamental Analysis and Research analyst Scope2. Security Market Introduction3. Equity and debt market definition4. Basic of finance5. Economic Analysis6. Industry Analysis7. Company Analysis Qualitative8. Company Analysis Quantitative9. Corporate Actions10. Valuation Concepts11. Financial parameter Summary12. Discounted Cash flow model13. Dividend Discount Model14. FCFF and FCFE (DCF Concepts)15. SOTP (Sum of parts)17. Process for calculation of Intrinsic value16. How to used analyze in stocks17. Different kind of risk and risk management in financial market18. Research Analyst quality19. How to make good research report and guidelines for preparing 20. Basic of financial statements, balance sheet, profit loss statements and cash flowsThis course will help in doing certification and will be very helpful for investor and traders.Covers very important details for investor skill enhancement.Different kind of risk and risk management in financial marketBasic of financial statements, balance sheet, profit loss statements and cash flowsLive demo to analyse stock in financial tool with ExampleBasic of finance (Cost of equity, WACC,Equity risk premium, Sharpe Ratio, Beta etc.)Financial market concepts (Dividend discount model, Discounted cash flow model, FCFE,FEFF and SOTPGlobal process of Industry and economic analysisAble to make research report and manage client portfolioExpertise in finding good stocks for investment in long term>200 Questions- Answer self test objective type on course (Quiz)An equity Research Analyst refers to the person who analyzes financial information along with the different trends of the different organizations or the different industries and then gives an opinion in his equity research report based on analysis conduct, thereby helping the clients make the goods investment decisions.

Become a job-ready equity research analyst by building real-world financial models and valuations from scratch. What you'll learn: Real-world financial modeling using ExcelForecasting revenue, costs, and marginsBuilding and linking financial statementsPerforming sectoral and macro-level demand analysisEquity valuation using PE multiplesCreating professional equity research reportsUnderstanding ethanol and renewable energy market dynamics Welcome to the Equity Research & Equity Analyst Program—a comprehensive, hands-on course designed to prepare you for a career in equity research, investment banking, or financial analysis. Using Praj Industries Ltd, a leader in ethanol technology and engineering solutions, this program walks you through every stage of financial modeling, company analysis, and valuation. From understanding the business model to projecting financials and estimating share value, you will learn how real analysts think, research, and present investment recommendations.Whether you're a student or a working professional, this course equips you with job-ready skills in Excel-based modeling, financial statement interpretation, and sector forecasting.Section 1: IntroductionThis foundational section introduces Praj Industries Ltd, its ethanol-driven business model, and its role in the broader renewable energy ecosystem. You'll learn how the company manufactures ethanol, its market segments, and how government policies and emerging markets are fueling growth. We also provide an industry-level view of ethanol’s strategic importance to India’s energy independence, laying the groundwork for sector-specific modeling.Section 2: Financial Statement AnalysisHere, you’ll roll up your sleeves and start working with Praj’s quarterly and annual reports. You'll input (or "punch") data from both standalone and consolidated financials into your Excel model. The section includes management analysis, income statement breakdowns, balance sheet reviews, and linkage-building between statements. You’ll also learn how to reverse-engineer FY16 cash flows when full reports aren't available—just like real analysts do.Section 3: Ethanol Demand and Order Flow ProjectionsAnalyze the macro and micro demand drivers for ethanol in India. You'll forecast petrol consumption trends, understand government mandates for ethanol blending, and estimate how these trends translate into new order flows for Praj and its competitors. Using data from the Petroleum Planning and Analysis Cell (PPAC), you’ll develop demand models and run sensitivity analyses.Section 4: Brewery and Emerging Market Order Flow ProjectionsExtend your demand modeling to Praj’s other business lines, including breweries and global markets. Learn how to use assumption sheets to model new order inflows and analyze how global expansion in ethanol policies may impact Praj’s financials in the coming years.Section 5: Projection of RevenuesMove from top-line forecasting to a detailed revenue model. You'll project sales, estimate operating costs, calculate margins, and adjust for variables like foreign exchange fluctuations and other income sources. This section also includes projections of depreciation, amortization, and finance costs—all critical for building a reliable income statement forecast.Section 6: Projection of Balance SheetThis section teaches you to project all critical components of the balance sheet, such as assets, liabilities, and equity. You'll also learn to calculate working capital elements like trade payables and build a fully integrated balance sheet that connects with your income statement and cash flow projections.Section 7: Projection of Cash FlowsCash flow modeling is essential for valuation and risk analysis. You’ll learn how to project cash flows using the indirect method, linking them to the income statement and balance sheet. This section will help you evaluate free cash flow, a key driver of valuation in equity research.Section 8: Projections of Equity Value Per ShareOnce the model is complete, you’ll use it to derive valuation multiples. This includes drawing 1-year and 2-year rolling PE charts to assess relative valuation. You'll explore how to estimate intrinsic value and understand the valuation metrics used by buy-side and sell-side analysts.Section 9: Preparing Summary SheetYour final step is to compile all insights into a one-page Equity Research Summary Sheet—just like real analysts do. This includes financial highlights, valuation, recommendations, and key investment risks. It’s a perfect takeaway for interviews, reports, or client presentations.By the end of the Equity Research & Equity Analyst Program, you will have built a fully integrated financial model, conducted industry demand forecasts, and created a valuation summary for Praj Industries. This isn’t just a learning experience—it’s a portfolio-ready project that showcases your capabilities as a future equity research analyst.

GenAI for Market Research Analysts is a comprehensive exploration of how Generative Artificial Intelligence (GenAI) is revolutionizing the field of market research. This course offers an in-depth understanding of the capabilities of GenAI in this domain and provides practical strategies for leveraging these powerful tools in day-to-day market research activities. This course is tailored to market research managers and team leads, market research analysts, and aspiring market researchers. It is ideal for professionals responsible for identifying GenAI opportunities and guiding their teams toward more efficient, innovative practices, those looking to enhance their workflows with GenAI-powered tools, and individuals aiming to future-proof their skills in market research. Participants should have familiarity with fundamental market research concepts and workflows, including data collection methods, data analysis techniques, and market segmentation. Experience with common market research tools and technologies, such as survey platforms and data visualization tools, as well as proficiency in data analysis using tools like Excel or SPSS, will be beneficial. An open mindset towards incorporating Generative AI tools and techniques, along with a willingness to experiment and learn, is essential for maximizing the benefit of this learning experience. By the end of this course, market research analysts will be equipped with the knowledge and skills to harness the transformative potential of GenAI, driving efficiency, innovation, and strategic insights in their work.

A practical guide on how to conduct market research during consulting projects What you'll learn: How to estimate the market size in ExcelHow to analyze the competitionHow to analyze the market structureHow to model the results of the research in ExcelHow to analyze data from consumersHow to analyze data from sales channelsWhere to find the information, you will needHow to use jobs-to-be-done framework What is the aim of this course?During most consulting projects you will have to carry out some sort of market research. You will be analyzing the market size, competition, sales channels, and products. For strategic projects, due diligence, and business development projects, market research is a must and will be the basis for the whole project. Market research is time-consuming and requires combining different methods and sources. This is a must to get the full picture and advise the customer. In this course, I will teach how to perform fast and efficiently market research analyses during consulting projects.In the course, you will learn the following things:How to estimate the market size in ExcelHow to analyze the competitionHow to analyze the market structureHow to model the results of the research in ExcelHow to analyze data from consumersHow to analyze data from sales channelsWhere to find the information, you will needHow to use the jobs-to-be-done frameworkThis 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 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, McKinsey, 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?Most consulting projects especially those related to strategy will require you to research and analyze the market. To do that efficiently, you will have to master certain skills and tools as well as have a good understanding of what kind of sources of information you can use. Most firms don’t give you the full toolbox that you need. This may lead to huge frustration during management consulting projects and a lot of inefficiencies.Therefore, I have decided to create this course that will help students understand or refresh the main skills and tools that they need to do market research during consulting projects. 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 what and how to do during projects that will require conducting market research and analyzing market data. You will master how to analyze data and draw conclusions from the analyses using ExcelTo 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 market research and market analyses done during consulting projects. That is why I highly recommend this course to Management Consultants or Business Analysts, especially those who have not finished business school. The course will help you become an expert in market research and market analyses on the level of McKinsey, BCG, Bain, and other top consulting firms.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 the speed with which you understand and analyze businesses. There is little theory – mainly examples, 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 estimate the market size in ExcelHow to analyze the competitionHow to analyze the market structureHow to model the results of the research in ExcelHow to analyze data from consumersHow to analyze data from sales channelsWhere to find the information, you will needHow to use the jobs-to-be-done framework.You can also ask me any question either through the discussion field or by messaging me directly.How is the course organized?The course is divided currently into the following sections:Introduction. We begin with a little introduction to the course as well as some general info on how the course is organizedEstimating Market Size. The first thing you will do is estimate the size of the market. This will help you calculate the shares of competitors and observe trends in the market. In this section, we will see how this can be done.Jobs-to-be-done Framework. This framework is extremely useful for defining the market and the competitors. In this section, we will what it is and how it can be used in practice.Competitive Landscape. As a part of most market research, you will also have to analyze the competitors, understand their shares in the market, what drives profitability as well as what strategies they use. In this section, we will see how we can map and analyze the competitors.Market Structure Analyses. The next step is to understand the market structure and the consumer. This will also give us a deeper understanding of the differences between competitors.Sales Channel Analyses. If you are dealing with other than the retail, marketplace, or e-commerce business models you should analyze what kind of sales methods and channels are used. In this section, you will learn how to analyze the sales channels in Excel.Financial Modeling. Market research is usually followed by financial modeling. The aim is usually to see whether entering certain segments or increasing presence makes economic sense. In this section, you will learn how to create a simple financial model and check whether the business idea makes sense or not.You will be able also to download many additional resources1. Useful frameworks and techniques2. Analyses shown in the course3. Additional resources4. Links to additional presentations, articles, and movies5. Links to books worth readingAt the end of my course, students will learn:How to estimate the market size in ExcelHow to analyze the competitionHow to analyze the market structureHow to model the results of the research in ExcelHow to analyze data from consumersHow to analyze data from sales channelsWhere to find the information, you will needHow to use the jobs-to-be-done frameworkWho should take this course? Who should not?Management ConsultantsBusiness AnalystsManagersFinancial ControllersInvestment AnalystsStartup FoundersProject ManagersWhat will students need to know or do before starting this course?Basic or intermediate ExcelBasic knowledge of economicsBasic or intermediate knowledge of 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.

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.

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.

A growing number of exciting, well-paying jobs in today’s security industry do not require a college degree. This Professional Certificate will give you the technical skills to become job-ready for a Cybersecurity Analyst role. Instructional content and labs will introduce you to concepts including network security, endpoint protection, incident response, threat intelligence, penetration testing, and vulnerability assessment. Cybersecurity is one of the most in-demand career fields. ● According to CyberSeek, from June 2019 through May 2020, there were 171,000 openings for Information Security Analysts, but only 125,000 workers currently employed in those positions – an annual talent shortfall of 46,000 workers. On average, cybersecurity roles take 21% longer to fill than other IT jobs. ● The U.S. Bureau of Labor Statistics expects 31% hiring growth for Cybersecurity Analysts between 2019 and 2029, growing much faster than average in other careers. You should be comfortable working with computers, be willing to develop new technical skills, and enjoy collaborative problem solving and communicating solutions. By the end of this program, you will have completed a real-world security breach hands-on project and applied concepts through industry tool virtual labs to provide you with the confidence to start a career in cybersecurity. This program is ACE® approved and FIBAA recommended - you can earn up to 10 college credits and up to 4 ECTS credits.

Launch your career in the high demand field of cybersecurity. In this beginner-friendly program, you’ll develop essential skills to protect systems, investigate threats, and respond to cyber incidents to get job ready in less than 5 months, no prior experience required. Cybersecurity is all about defending digital infrastructure. You’ll learn how to identity, assess, and mitigate risks, as well as detect and respond to security breachers. Through hands-on labs and real-world scenarios, you’ll gain experiences across five key areas including information security fundaments, ethical hacking, network defense, digital forensics, and security operations. You’ll also develop practical skills using industry-standard tools and techniques in threat hunting, forensic analysis, vulnerability management, and incident response. Whether you’re new to tech or transitioning from another role, this program helps you build a solid foundation to grow in the cybersecurity field. By the end of this program, you’ll be equipped with the technical knowledge, problem-solving mindset, and practical experience needed to start your cybersecurity career with confidence.

Kickstart your career with the IBM Business Analyst Professional Certificate — a comprehensive program designed to equip you with the job-ready skills needed to thrive in a growing field. With an 11% projected growth in management analyst positions (2022–2032, U.S. Labor Department) and average U.S. salaries for Business Analysts as $85,452 and $84,998 for women and men respectively (IIBA), this program sets you up for success. A Business Analyst bridges stakeholders and project teams, translating needs into actionable solutions, identifying requirements, delivering insights, and ensuring goals are met. This program includes self-paced courses, focusing on both foundational and advanced concepts. Gain a thorough understanding of the business analysis process and the role and responsibilities of a Business Analyst. Learn essential skills in process modeling, requirements gathering, and stakeholder engagement. Apply systems analysis tools to real-world scenarios and gain proficiency in data analysis and visualization using Excel and Cognos. The program aligns with the Business Analysis Body of Knowledge (BABOK) to prepare you for completing the Entry Certificate in Business Analysis (ECBA).

Learners who complete this program will receive a 50% discount voucher to take the PL-900 Certification Exam. Business analysis is a field that is becoming increasingly important in many different industries. As organizations become more data-driven, the need for skilled analysts who can help them make sense of this data is growing. Jobs related to Business Analysis are projected to increase by 14% from 2018 to 2028. That is 9% higher than the average growth rate for all occupations.1 The role of a business analyst is crucial in guiding organizations through data-driven decision-making. They analyze, interpret, and document business processes and data, providing insights to shape strategic decisions. This Microsoft Professional Certificate prepares you for an entry-level role in this dynamic field, offering a unique blend of technical and strategic skills vital in today's market. As industry leaders in technology and business solutions, Microsoft offers unparalleled training in business analysis. The curriculum combines videos, assessments, and hands-on activities, offering a practical understanding of these concepts in a business context. When you graduate, you’ll have tangible examples to talk about in job interviews and you’ll also be prepared to take the Microsoft PL-900 Certification Exam. 1 Iacolino, T. (2023, March 21). Exploring the Top Industries Embracing Business Analysis Professionals. IIBA

Kickstart your career with the IBM Business Analyst Professional Certificate — a comprehensive program designed to equip you with the job-ready skills needed to thrive in a growing field. With an 11% projected growth in management analyst positions (2022–2032, U.S. Labor Department) and average U.S. salaries for Business Analysts as $85,452 and $84,998 for women and men respectively (IIBA), this program sets you up for success. A Business Analyst bridges stakeholders and project teams, translating needs into actionable solutions, identifying requirements, delivering insights, and ensuring goals are met. This program includes self-paced courses, focusing on both foundational and advanced concepts. Gain a thorough understanding of the business analysis process and the role and responsibilities of a Business Analyst. Learn essential skills in process modeling, requirements gathering, and stakeholder engagement. Apply systems analysis tools to real-world scenarios and gain proficiency in data analysis and visualization using Excel and Cognos. The program aligns with the Business Analysis Body of Knowledge (BABOK) to prepare you for completing the Entry Certificate in Business Analysis (ECBA).

Demand for systems analysts is growing much faster than the average for all occupations (US Bureau of Labor Statistics). Professionals with the right skills are in high demand! This IBM Professional Certificate gives you the job-aligned skills employers are looking for in just 4 months. Systems analysts evaluate, design, and improve computer systems and business processes to help an organization operate more effectively. During this program, you’ll explore the role of a systems analyst. Through hands-on practice in systems analysis, process modeling, and requirements gathering, you’ll learn to identify business needs, map workflows, and support the design of IT solutions that make an impact. You’ll use tools like Excel, Cognos, and data modeling techniques—while learning to create documentation and visualize processes. You’ll discover how systems analysts support agile projects, contribute to change management efforts, and keep teams aligned through stakeholder and risk management strategies. You’ll explore system design, testing, and maintenance—and get familiar with how generative AI is shaping solution development. Additionally, you’ll prepare for the Certified Information Systems Auditor (CISA) professional certification exam. Plus, you’ll complete a capstone project that mirrors the real-world challenges analysts solve. Great for interviews! If you’re looking to have the job-ready skills you need to kickstart your career in systems analysis, enroll today

ArcGIS Business Analyst helps you make smarter market planning, site selection, and customer segmentation decisions by combining demographic, lifestyle, behavioral, and spending data, maps and reports with location-driven analytics. You can identify the under-performing markets, pinpoint the right growth sites, find where your target customers live, and share the market research across your organization. Part of the ArcGIS platform, Business Analyst comes with spatial analysis tools including drive-time, consumer profiling, trade area cannibalization, and sales forecasting and global data that covers over 90% of world’s population in 135+countries with 15,000+ variables on market data. Add your own location and customer data. Generate your market research with beautiful site maps and 40+ pre-formatted reports. Discover more about ArcGIS Business Analyst: https://www.esri.com/BA Follow ArcGIS Business Analyst in these places for updates:

Prepare for the ISTQB Advanced Level Test Analyst exam with this comprehensive 5-hour video playlist. Dive into the entire syllabus, covering topics such as software development lifecycle testing, test planning and execution, risk-based testing, and various test techniques including equivalence partitioning, boundary value analysis, and decision table testing. Explore quality characteristics, functionality testing, usability testing, and portability testing. Learn about reviews, checklists, and test automation tools. Benefit from tips, tricks, and sample questions throughout the tutorials to enhance your understanding and exam readiness.