Courses

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.

Understanding human behavior can be quite challenging, even with numerous theories available. The fact that we're still struggling raises the question: why are we failing? Is it because we're not applying the theories properly, or could there be issues with the theories themselves? In this course, we'll explore the fascinating world of human behavior and the reasons behind our difficulties in understanding it. We'll investigate whether the problem lies in how we use the existing theories or if the theories themselves need improvement. Along the way, we'll also learn new strategies to better understand and influence human behavior. This course is suitable for beginners and those with some knowledge, including professionals, students, and enthusiasts from diverse backgrounds. It is designed for individuals of all backgrounds and professions who are interested in exploring the world of human behavior. By the end of this course, you'll be able to: 1. Develop a better understanding of traditional human behavior theories. 2. Establish a connection between the human brain and behavior. 3. Identify the loopholes in traditional human behavior theories. 4. Assess the importance of different factors that come into play in human decision-making. 5. Apply new techniques and strategies to influence human behavior the right way. 6. Gain paradigm-shifting knowledge about human behavior.

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.

Explore the crucial role of organizational behavior in business through this comprehensive video lecture. Delve into the definition, importance, elements, and levels of organizational behavior, understanding how these factors impact business organizations. Examine various models and objectives of organizational behavior, gaining a thorough understanding of its significance in the workplace. Learn about the study of human behavior in organizational settings, different types of organizational behavior, and how they affect business operations. By the end of this 53-minute presentation, acquire a solid foundation in organizational behavior concepts and their practical applications in modern business environments.

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.

Have you ever wondered why ceramics are hard and brittle while metals tend to be ductile? Why some materials conduct heat or electricity while others are insulators? Why adding just a small amount of carbon to iron results in an alloy that is so much stronger than the base metal? In this course, you will learn how a material’s properties are determined by the microstructure of the material, which is in turn determined by composition and the processing that the material has undergone. This is the first of three Coursera courses that mirror the Introduction to Materials Science class that is taken by most engineering undergrads at Georgia Tech. The aim of the course is to help students better understand the engineering materials that are used in the world around them. This first section covers the fundamentals of materials science including atomic structure and bonding, crystal structure, atomic and microscopic defects, and noncrystalline materials such as glasses, rubbers, and polymers.

StraighterLine’s Organizational Behavior course is an affordable, 100% online class. Students who enroll earn 3 credits toward their degree. The course is self-paced and includes online tutoring for those who need help. While most students complete their lessons in 4-6 weeks, many are able to finish in under 30 days. From leadership theories and styles to conflict management and negotiation to team building and change management, our online lessons are designed to provide students with an opportunity to explore the behavior of individuals, groups, and organizations within today’s dynamic work environment. Specific topics include communications, motivations, corporate politics, ethics, power structure, and organizational culture. eTextbooks are included at no additional cost. Enroll in our Organizational Behavior course online now.

The course is designed to be a challenging and practical academic experience. The Aim of this course is to provide you with an understanding of the behavior of people (including your own!) in relation to their work and organizations. Various theoretical perspectives are covered to give you different frameworks from which to consider the management role in organizations. Both classic research and the most recent findings are discussed. Emphasis is given to the management function because of the importance that management and leadership plays in every organization. ObjectivesOn completion of this course students should have acquired:• an understanding of theory and research related to current issues and future trends in organizational Behavior;• an understanding of the links between behavior and its social and organizational context;• the ability to apply major OB concepts, models and theories to enhance organizational effectiveness through insightful analysis and discussion of case studies, scenarios and examples used throughout the course.

Boost team performance and motivation with key organizational behavior skills. What you'll learn: Understanding Workplace Dynamics: Discover how workplace dynamics influence productivity and learn strategies for managing team interactions effectively.Employee Motivation: Explore intrinsic vs. extrinsic motivation and delve into key theories of employee motivation.Conflict Resolution: Develop practical conflict resolution skills to effectively manage and resolve team conflicts, enhancing group cohesion.Employee Engagement: Identify employee engagement best practices, measurement methods, and effective strategies to enhance employee commitment.Emotional Intelligence in the Workplace: Develop emotional intelligence skills essential for effective communication.Performance Management: Master various performance appraisal methods and techniques for setting achievable performance goals.Job Satisfaction: Identify factors affecting job satisfaction and implement practices aimed at improving overall employee happiness.Employee Retention: Employ proven strategies to reduce employee turnover and retain top talent. How do you effectively motivate employees to perform at their best? Why do certain colleagues inspire collaboration, while others spark frustration? What factors truly determine whether employees remain committed or choose to leave an organization?If you've ever pondered these questions, you've already entered the fascinating field of Organizational Behavior. Understanding the definition of organizational behavior and its core theories enables professionals to improve productivity, manage workplace dynamics, and build a positive organizational culture.This comprehensive course provides insights into essential areas, including employee motivation strategies, conflict resolution techniques, change management models, and ways to foster employee engagement and retention. Whether you're a manager, HR specialist, team leader, or a business student, this course equips you with practical skills to excel professionally and personally. Course StructureChapter 1: Introduction to Organizational BehaviorOrganizations consist of intricate networks of individuals, relationships, and processes that constantly evolve. This chapter introduces foundational organizational behavior theories, including historical management studies such as the Hawthorne studies and Parkinson’s law. You’ll learn why workplace dynamics develop in particular ways, why people respond differently to similar circumstances, and how leadership profoundly influences team performance. Gain insights into evidence-based management techniques, empowering you to make informed, data-driven decisions. Chapter 2: The Individual in the OrganizationPeople form the cornerstone of any successful organization, and this chapter explores what motivates their behavior, shapes their attitudes, and drives their performance. You’ll examine how emotional intelligence enhances leadership and communication, explore why some employees embrace change more easily than others, and discover the critical relationship between job satisfaction, engagement, and performance. Furthermore, you'll learn about cognitive biases, creativity, and effective decision-making processes to foster innovation and teamwork. Chapter 3: Motivation and PerformanceEmployee motivation extends far beyond monetary rewards. In this chapter, you'll explore major theories of motivation, including Maslow’s Hierarchy of Needs, Herzberg’s Two-Factor Theory, and Self-Determination Theory. Discover how to set meaningful performance goals, foster a growth-oriented culture, and ensure fair, motivating compensation. You’ll also learn practical solutions for restoring motivation, managing performance dips, and maintaining sustained employee engagement. Chapter 4: Groups and Teams in OrganizationsEffective teams are fundamental to organizational success but building and maintaining them is challenging. This chapter examines critical elements of group dynamics, team roles, and the power of norms and expectations. Learn strategies for preventing groupthink, encouraging collaboration, and enhancing collective decision-making. Discover how to manage conflicts constructively without disrupting productivity, and explore the five stages of team development crucial for creating high-performing teams. Chapter 5: The Organization as a WholeEvery organization operates under a unique set of explicit and implicit rules and cultural norms. Here, you'll explore organizational structures, corporate culture, and power dynamics. Understand how workplace politics influences decision-making and learn effective ways to navigate complex interpersonal scenarios. Develop essential skills for implementing organizational change, managing resistance, and mastering strategic decision-making. This comprehensive approach equips you to understand your role within the broader organizational context and contribute meaningfully to its success. Real-World Applications:The skills you gain from this course will help you navigate everyday challenges in the workplace, from motivating your team to managing conflicts and understanding complex group dynamics. Whether you’re aiming to improve your organization’s culture, enhance team performance, or prepare for a role in organizational development, this course provides the tools and knowledge you need. Enroll Now:Join thousands of satisfied students who have taken this course to improve their understanding of organizational behavior. Enroll now to start learning, or check out the free preview lectures and course description to see why this course is right for you!

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