Courses

All organisations must grapple with fundamental issues at the heart of governance: who are our stakeholders? What are their objectives? How can we ensure these objectives are met as effectively as possible? How can we ensure all legitimate stakeholders are treated fairly? Via structured learning activities (video lectures, quizzes, discussion prompts and written assessments) this course will teach you how to address these questions and how a sound governance structure and comprehensive risk management framework can support you and your organisation in achieving its objectives. You will consider contemporary ethical issues and devise practical responses to them, and finally, you’ll discover that your future ‘influencing’ challenge will be to encourage all members of your organisation to understand their role in serving your organisation’s stakeholders.

The Risk Management Certification Program (PMI-RMP) & The Business Analysis Certification Program (IIBA - ECBA) What you'll learn: Planning Risk Management (PMBOK6 Aligned)Identifying Risk (PMBOK6 Aligned)Analyzing Risk (PMBOK6 Aligned)Responding to Risk (PMBOK6 Aligned)Introduction to Business Analysis (IIBA - ECBA)Business Analysis Planning and Monitoring (IIBA - ECBA)Business Analysis Elicitation and Collaboration (IIBA - ECBA)Business Analysis and Requirements Life Cycle Management (IIBA - ECBA)Business Analysis and Strategy Analysis (IIBA - ECBA)Business Analysis and RADD: Requirements Definition (IIBA - ECBA)Business Analysis and Strategy Analysis (IIBA - ECBA)Business Analysis and RADD: Requirements Definition (IIBA - ECBA)Requirements Analysis and Design Definition (IIBA - ECBA)Business Analysis and Solution Evaluation (IIBA - ECBA)Analytical Techniques Used for Business Analysis (IIBA - ECBA)Activities and Tools Used for Business Analysis (IIBA - ECBA)Documentation and Criteria Used for Business Analysis (IIBA - ECBA)Business Analysis Competencies: Personal Skills (IIBA - ECBA)Business Analysis Perspectives (IIBA - ECBA) I. The Risk Management Certification Program (PMI-RMP)Welcome to the Risk Management Certification Program (PMI-RMP). The Program is PMBOK6 aligned and includes the courses on Planning Risk Management, Identifying Risk, Analyzing Risk and Responding to Risk.1. Planning Risk Management. We're going to learn about how to plan for risks on a project to make sure that when negative things do happen, we're ready for them.2. Identifying Risk. Covers the inputs you need to look at in order to identify risks. And how to use several techniques, such as Data Analysis methods, like SWOT Analysis, and Assumption, and Constraint Analysis, to help you develop an effective risk register.3. Analyzing Risk. We'll examine the two risk analysis processes of the project risk management knowledge area, namely, perform qualitative risk analysis and perform quantitative risk analysis.4. The Responding to Risk covers the final three processes in the project risk management knowledge area. Plan risk responses, implement risk responses and monitor risks. You'll learn about some common risk response strategies and how to monitor and control risks as they occur.All instructional activities will earn you the necessary for PMI certification and credential maintenance if you already are a certified PMI Risk Management Professional or Project Management Professional. II. The Business Analysis Certification Program (IIBA - ECBA) The Business Analysis Certification Program is aligned with the (Business Analysis Body of Knowledge Guide) BABOK version 3 and has a total of 14 sections that are also presented as individual courses for your convenience.1. Introduction to Business Analysis. Foundational concepts related to business analysis. First we're going to look at business analysis and what it is, what a business analyst does, and some of the core concepts related to working in this field. Then we'll look at some of the key terms, such as stakeholder, requirements, and design.2. Business Analysis Planning and Monitoring. The tasks in this knowledge area produce documents that direct you as a business analyst throughout a project. These documents include the general approach you'll take, the plan for engaging stakeholders, and how you'll manage information, and changes to the requirements.3. Business Analysis Elicitation and Collaboration. Find out how business analysts identify and reach agreements with stakeholders on requirements. The tasks in this knowledge area describe how you as a business analyst reach a mutual understanding of various types of business analysis information with stakeholders. The activities associated with this task include workshops, surveys, and ad hoc collaboration and conversations.4. Business Analysis and Requirements Life Cycle Management. Requirements are the foundation of all your business analysis activities. If the objective of a project is to deliver solutions that best meet requirements, then you'd best keep a close eye on those requirements and the designs that address them. So, we’ll look at what your role is in tracing and maintaining requirements and designs.5. Business Analysis and Strategy Analysis. It covers everything from assessing the current state of operations, doing some visioning regarding a desired future state, determining what the risks are that will need to be managed, and then coming up with the best strategy for realizing the desired future state.6. Business Analysis and RADD: Requirements Definition. This course covers the first three tasks, which involve creating a list of requirements and then verifying that they are of sufficient quality to be used for further work. And then, validating them to ensure they deliver benefits to the stakeholders, align with business goals, and align with the objectives of the change.7. Requirements Analysis and Design Definition. Related to creating a requirements architecture. You develop a set of designs and analyze those to determine where the best value is. The final step is to develop the solution recommendation that represents the best design.8. Business Analysis and Solution Evaluation. It involves measuring and analysing solution performance as well as identifying limitations within the solution and the enterprise that may be keeping the solution from reaching its full value potential. The final task is to recommend actions to remove the limitations and thereby increase the value of the solution.9. Analytical Techniques Used for Business Analysis. Analytical techniques assist the business analyst to identify problems and to find solutions. This course will introduce Analysis Tools for Scoping and Planning, Models that Support Business Analysis and Analyses that Support Decision making.10. Activities and Tools Used for Business Analysis. The categories of techniques covered in this course include idea generation and data gathering techniques that you can use with groups, such as brainstorming, collaborative games, and workshops. We'll also look at decision-making techniques, such as estimation and prioritisation.11. Documentation and Criteria Used for Business Analysis. Some of them are glossaries and business rules you'll need, others are documents you'll create that contain business cases, use cases, and user stories. The final type of documents we'll look at contain metrics and criteria you'll use for evaluating performance and establishing requirements.12. Business Analysis Competencies: Personal Skills. These competencies represent skills and knowledge that all business analysts should have in order to excel at their jobs. There are six categories of competencies altogether, and in this course we'll be looking at three of them: analytical thinking and problem solving, communication skills, and interaction skills.13. Business Analysis Competencies: Professional Effectiveness. Covers behavioural characteristics such as personal accountability, trustworthiness, adaptability, and organisation and time management. We'll also look at various areas of business knowledge that are important to business analysis. Finally, we'll talk about some of the tools and technology that business analysts use on the job.14. Business Analysis Perspectives, we'll be looking at five different perspectives from which business analysis may need to view their work. Perspectives are used within business analysis to provide focus for the tasks you will carry out. They'll also come with a set of techniques that are specific to the context of the change initiative. (HARVEL-YF0KL) If you you want to improve your business analysis and risk management skills or to get the certifications provided by the Project Management Institute or the International Institute of Business Analysis, this course is for you.Now, go ahead and press that "Take this course" button and see you on the inside!

Explore the challenges and potential pitfalls of implementing AI risk management frameworks in this 34-minute conference talk from Black Hat. Delve into a critical analysis of two prominent frameworks - NIST AI RMF and the draft EU AI Act - and uncover five key roadblocks organizations may face when operationalizing these standards. Learn from qualitative studies and experimental work that highlight the unintended consequences of well-intentioned AI risk policies. Gain valuable insights into the rapidly evolving AI Risk Management ecosystem, including the proliferation of draft standards, emerging startups, and testing methodologies. Understand the implications for compliance officers, ML engineers, and security professionals as they navigate the complex landscape of AI system evaluation and risk mitigation.

This 11-minute video from IBM explores how risk analysis strengthens cybersecurity practices. Learn how brakes and cybersecurity share a common purpose in managing risk effectively as Jeff Crume explains the process of identifying threats, evaluating potential impacts, and making informed security decisions. Discover practical strategies for mitigating risks and improving system resilience in your organization. For those interested in becoming a Certified Administrator - Security Guardium, the video provides information about certification opportunities with a special discount code. Gain valuable insights from IBM's expertise in risk management and understand how proper analysis can transform your approach to cybersecurity protection.

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.

## Become a Quantitative Analyst with R Launch your quantitative finance career by mastering the skills to evaluate asset prices, balance risk, and uncover trading opportunities using R. In this Track, you'll learn how to manipulate time series data, build forecasting models, analyze portfolios, and manage risk. Hands-on exercises with real financial data ensure you're ready to apply your skills in the workplace. ## Master the Quantitative Analyst Toolbox Gain proficiency in the core techniques used by quantitative analysts, including cleaning, manipulating, and visualizing time series data with packages like **zoo, xts,** and **lubridate**. You'll also explore ARIMA and exponential smoothing models for forecasting, portfolio optimization strategies, credit risk assessment using logistic regression, and value-at-risk models for market risk quantification. ## Solve Real-World Financial Challenges with R Apply your skills to projects that reflect the day-to-day work of a quantitative analyst: * Evaluate bond prices and protect against interest rate changes * Optimize asset allocation to balance risk and return * Build and backtest signal-based trading strategies * Estimate the likelihood of credit default for lending decisions * Analyze risk factor returns and estimate value-at-risk ## Why R for Quantitative Finance? R has become the go-to programming language for quantitative finance thanks to its powerful data manipulation tools, state-of-the-art time series modeling, and active community of financial experts. Its open-source nature ensures access to the latest techniques, while packages like quantmod and PerformanceAnalytics provide a robust framework for financial analysis. ## Advance Your Quantitative Finance Career with R Skills By completing this Track, you'll have the skills and confidence to: * Pursue quantitative analyst, risk management, and trading strategy roles * Make data-driven financial decisions to optimize portfolios * Collaborate with other analysts using the common language of R * Stay ahead of the curve with cutting-edge modeling techniques Whether you're breaking into the field or looking to level up your skills, this Track will equip you with the quantitative finance expertise to succeed.

Environmental, Social, and Governance (ESG) has gained increasing attention over the past few years, with many institutional investors investing only in those companies that provide ESG performance reporting. ESG has considerations relevant to analysts and investors, consumers and employees, and it has become a key topic of discussion at the Board table. This course provides an overview of an ESG framework and how it supports a company’s overall risk management. It examines each component in detail and provides insight into how they converge to impact a company and its stakeholders. The course also discusses how to look at corporate pressures & stakeholder expectations and their impact on risk identification and business success. Lastly, we look at critical considerations from both the company and investor perspectives before applying theory to practice in a final case study. Upon completing this course, you will be able to: • Explain what ESG is and its relevance to making financial decisions; • Describe key environmental, social, and governance issues; • Explain how stakeholders influence corporate ESG performance; • Analyze ESG risks and opportunities; • Assess ESG company performance using publicly available information; • Translate ESG information to business intelligence. Who should take this course? This Environmental Social Governance (ESG) course is perfect for any analyst who would like to better understand how a company manages risks and opportunities that shifting market & non-market conditions create in today’s world. This course explores concepts that will be useful for beginner and intermediate-level research analysts, banking and investment professionals, or business and finance students seeking to gain further insight into ESG. The exercises and tools explored in this course will also be useful for any business analyst that wishes to advise public market clients on ESG strategies and improved disclosures.

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.

Introduction to ESG course overview Environmental, Social, and Governance (ESG) has gained increasing attention over the past few years, with many institutional investors investing only in those companies that provide ESG performance reporting. ESG has considerations relevant to analysts and investors, consumers and employees, and it has become a key topic of discussion at the Board table. This course provides an overview of an ESG framework and how it supports a company’s overall risk management. It examines each component in detail and provides insight into how they converge to impact a company and its stakeholders. The course also discusses how to look at corporate pressures & stakeholder expectations and their impact on risk identification and business success. Lastly, we look at critical considerations from both the company and investor perspectives before applying theory to practice in a final case study. Introduction to ESG learning objectives Upon completing this course, you will be able to: Explain what ESG is and its relevance to making financial decisions;Describe key environmental, social, and governance issues;Explain how stakeholders influence corporate ESG performance;Analyze ESG risks and opportunities;Assess ESG company performance using publicly available information;Translate ESG information to business intelligence.Who should take this course? This Environmental Social Governance (ESG) course is perfect for any analyst who would like to better understand how a company manages risks and opportunities that shifting market & non-market conditions create in today’s world.This course explores concepts that will be useful for beginner and intermediate-level research analysts, banking and investment professionals, or business and finance students seeking to gain further insight into ESG.The exercises and tools explored in this course will also be useful for any business analyst that wishes to advise public market clients on ESG strategies and improved disclosures.

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).