IBM Data Analyst Professional Certificate

Unlock your potential in data analytics. Build job-ready skills for an in-demand career as a data analyst. No degree or prior experience required.

Instructor:

Rav Ahuja, +8 more

IBM Data Analyst Professional Certificate banner image

4.6/5

12,301 ratings
116,319 already enrolled

4 Months

Under 10 hours of study a week

English

Beginner Level

No prior experience required.

Earn credits

Part of Bachelor of Applied Arts and Sciences

Build job-ready skills by learning from the best

Get started in the in-demand field of data analytics with a Professional Certificate from IBM. Learn the core principles of data analysis and gain experience with data manipulation using Python and Excel, applying analytical techniques, and working with a variety of data sources.

Common job titles: Data Analyst, Associate Data Analyst, Junior Data Analyst, Finance Analyst, Operations Analyst, Data Technician, Business Performance Analyst, Marketing Analyst

¹Lightcast™ Job Postings Report (median with 0-2 years experience), United States, 9/1/21-9/1/22.
²Based on Cousera learner outcome survey responses, United States, 2021.

$67,500
median entry-level salary¹

42%
of certificate grads started a new career²

123,321
in-demand job openings in data analytics¹

¹Lightcast™ Job Postings Report (median with 0-2 years experience), United States, 9/1/21-9/1/22.
²Based on Cousera learner outcome survey responses, United States, 2021.

Skills you will gain

Microsoft Excel
Python Programming
Data Analysis
Data Visualization (DataViz)
SQL
Data Science
Spreadsheet
Pivot Table
IBM Cognos Analytics
Dashboard
Pandas
Numpy

About this Professional Certificate

Gain the job-ready skills for an entry-level data analyst role through this Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth until 2028 (U.S. Bureau of Labor Statistics).

Power your data analyst career by learning the core principles of data analysis and gaining hands-on skills practice. You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques.

This Professional Certificate does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees. All you need to get started is basic computer literacy, high school math, comfort working with numbers, willingness to learn, and a desire to enrich your profile with valuable skills.

Upon successful completion of this program, you’ll have analyzed real-world datasets, created interactive dashboards, and presented reports to share your findings, giving you the confidence and the portfolio to begin a career as an associate or junior data analyst. You’ll also build the foundation for other data disciplines such as data science or data engineering.

This program is ACE® recommended—when you complete, you can earn up to 12 college credits.

Applied Learning Project

Throughout the program, you’ll complete hands-on projects and labs and gain a firm grasp on the required technical skills to effectively gather, wrangle, mine, and visualize data, as well as the soft skills for working with stakeholders and storytelling with data to engage your audience. Projects

Import, clean, and analyze fleet vehicle inventory with Excel pivot tables.
Use car sales key performance indicator (KPI) data to create an interactive dashboard with visualizations.
Extract and graph financial data with the Pandas data analysis Python library.
Use SQL to query census, crime, and school demographic data sets.
Wrangle data, graph plots, and create regression models to predict housing prices with data science Python libraries.
Create a dynamic Python dashboard to monitor, report, and improve US domestic flight reliability.

At the end of the program, you complete a real-world capstone project specifically designed to showcase your newly learned data analyst skills.

What you will learn

Demonstrate proficiency in using spreadsheets and utilizing Excel to perform a variety of data analysis tasks like data wrangling and data mining
Create various charts and plots in Excel & work with IBM Cognos Analytics to build dashboards. Visualize data using Python libraries like Matplotlib
Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services
Describe data ecosystem and Compose queries to access data in cloud databases using SQL and Python from Jupyter notebooks

What is a Professional Certificate?

Build the Skills to Get Job Ready

Whether you’re looking to start a new career, or change your current one, Professional Certificates on Coursera help you become job ready. Learn at your own pace, whenever and wherever it’s most convenient for you. Enroll today and explore a new career path with a 7 day free trial. You can pause your learning or end your subscription at any time.

Hands-On Projects

Apply your skills with hands-on projects and build a portfolio that showcases your job readiness to potential employers. You'll need to successfully finish the project(s) to earn your Certificate.

Earn a Career Credential

When you complete all of the courses in the program, you'll earn a Certificate to share with your professional network as well as unlock access to career support resources to help you kickstart your new career. Many Professional Certificates have hiring partners that recognize the Professional Certificate credential and others can help prepare you for a certification exam. You can find more information on individual Professional Certificate pages where it applies.

There are 9 Courses in this Professional Certificate

Course1

Course 1

Introduction to Data Analytics

4.8

stars

10,632 ratings

Ready to start a career in Data Analysis but don’t know where to begin? This course presents you with a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers.

You will familiarize yourself with the data ecosystem, alongside Databases, Data Warehouses, Data Marts, Data Lakes and Data Pipelines. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. By the end of this course you’ll be able to understand the fundamentals of the data analysis process including gathering, cleaning, analyzing and sharing data and communicating your insights with the use of visualizations and dashboard tools. This all comes together in the final project where it will test your knowledge of the course material, and provide a real-world scenario of data analysis tasks. This course does not require any prior data analysis, spreadsheet, or computer science experience.

Course2

Course 2

Excel Basics for Data Analysis

4.8

stars

5,219 ratings

Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. This course is designed to give you a basic working knowledge of Excel and how to use it for analyzing data.

This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain. No prior experience with spreadsheets or coding is required - all you need is a device with a modern web browser and the ability to create a Microsoft account to access Excel online at no cost. If you have a desktop version of Excel, you can also easily follow along with the course. Throughout this course, you'll gain valuable experience working with data sets and spreadsheets. We'll start by introducing you to spreadsheets like Microsoft Excel and Google Sheets, and show you how to load data from multiple formats. From there, you'll learn how to perform basic data wrangling and cleansing tasks using functions, and expand your knowledge of data analysis through the use of filtering, sorting, and pivot tables. There is a strong focus on practice and applied learning in this course. With each lab, you'll have the opportunity to manipulate data and gain hands-on experience using Excel. You'll learn how to clean and format your data efficiently, and convert it into a pivot table to make it more organized and readable. The final project will allow you to showcase your newly acquired data analysis skills by working with real data sets and spreadsheets. By the end of this course, you'll have a solid foundation in using Excel for data analysis. You'll have worked with multiple data sets and spreadsheets, and will have the skills and knowledge needed to effectively clean and analyze data without having to learn any code. So let's get started!

Course3

Course 3

Data Visualization and Dashboards with Excel and Cognos

4.7

stars

2,520 ratings

Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers some of the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without having to write any code.

You'll start by creating simple charts in Excel such as line, pie and bar charts. You will then create more advanced visualizations with Treemaps, Scatter Charts, Histograms, Filled Map Charts, and Sparklines. Next you’ll also work with the Excel PivotChart feature as well as assemble several visualizations in an Excel dashboard. This course also teaches you how to use business intelligence (BI) tools like Cognos Analytics to create interactive dashboards. By the end of the course you will have an appreciation for the key role that data visualizations play in communicating your data analysis findings, and the ability to effectively create them. Throughout this course there will be numerous hands-on labs to help you develop practical experience for working with Excel and Cognos. There is also a final project in which you’ll create a set of data visualizations and an interactive dashboard to add to your portfolio, which you can share with peers, professional communities or prospective employers.

Course4

Course 4

Python for Data Science, AI & Development

4.6

stars

31,034 ratings

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher.

This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.

Instructors

Offered by

IBM Skills Network

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

Earn credit towards your degree

Upon completing this certificate, you can earn college credit when you're accepted into Bachelor of Applied Arts and Sciences from University of North Texas.

Bachelor of Applied Arts and Sciences

University of North Texas

Frequently Asked Questions

What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
What is data analysis?
Data analysis involves gathering, cleaning, organizing, modelling, and visualizing data with the goal of extracting helpful insights that can inform decision-making.
What jobs can I get with data analytics skills?
Data analytics skills will prove valuable in any profession. As data analytics technology develops, organizations across fields are increasingly using data to inform decision-making. This program will provide you with all the skills needed for an entry-level Data Analyst role, and will provide a strong foundation for future career development in other paths such as data science or data engineering.
How long does it take to complete the Professional Certificate?
This is a self-paced Professional Certificate that you can complete on your own schedule. Working 10-12 hours a week, you could complete the entire program in just 3 months. If working part time with just 2-3 hours per week, it can take up to 9 months.
What background knowledge is necessary?
No specialized background or degree is needed. However, you are expected to have basic computer literacy, high-school level mathematics, and be comfortable working with numbers.
Do I need to take the courses in a specific order?
It is highly recommended to complete the courses in the order they are listed, as they build upon concepts in the previous courses.
What will I be able to do upon completing the Professional Certificate?
Upon completing this Professional Certificate, you will be armed with the skills and knowledge to start an entry level role in Data Analytics. You can also apply your newly-acquired analytical skills to enrich your current career in a variety of industries including banking, accounting, and IT and functions such as marketing, finance, and research.
Data analytics skills are also valuable as an entry point to other data-related professions such as Data Science, Data Engineering, and Business Analytics.
Can I get college credit for taking the IBM Data Analyst Professional Certificate?
Yes. The IBM Data Analyst Professional Certificate recently secured a credit recommendation from the American Council on Education's (ACE) Credit Recommendation, which is the industry standard for translating workplace learning to college credit. Learners can earn a recommendation of 12 college credits for completing the program. This aims to help open up additional pathways to learners who are interested in higher education and prepare them for entry-level jobs.
How do you share your proof of completion with the educational institutions for transferring credit?
To share proof of completion with schools, certificate graduates will receive an email prompting them to claim their Credlybadge, which contains the ACE®️credit recommendation. Once claimed, you will receive a competency-based transcript that signifies the credit recommendation, which can be shared directly with a school from the Credly platform. Please note that the decision to accept specific credit recommendations is up to each institution and is not guaranteed.
Where can I find more information on ACE credit recommendations?
Please see Coursera’s ACE Recommendations FAQ.

More questions? Visit the Learner Help Center.

IBM Data Analyst Professional Certificate

Build job-ready skills by learning from the best

Skills you will gain

About this Professional Certificate