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Alex Aklson, Rav Ahuja, Hima Vasudevan, Joseph Santarcangelo, Steve Ryan, Sandip Saha Joy, Kevin McFaul, Ramesh Sannareddy, Saishruthi Swaminathan, and Dr. Pooja
Gain the job-ready skills for an entry-level data analyst role through this eight-course 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...
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Gain the job-ready skills for an entry-level data analyst role through this eight-course 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.
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What's inside

Seven courses

Databases and SQL for Data Science with Python

(0 hours)
Working knowledge of SQL is a must for data professionals. Much of the world's data resides in databases. SQL is a powerful language used for communicating with and extracting data from databases. In this course, you will learn SQL inside out—from the very basics of Select statements to advanced concepts like JOINs.

Data Analysis with Python

Analyzing data with Python is essential for Data Scientists and Data Analysts. This course covers basics of data analysis with Python to building and evaluating data models. Topics include collecting, importing, cleaning, preparing, formatting data, data frame manipulation, summarizing data, building machine learning regression models, model refinement, and creating data pipelines.

Introduction to Data Analytics

Ready to start a career in Data Analysis? This course presents 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.

Excel Basics for Data Analysis

Spreadsheet tools like Excel are essential for working with data. This course provides a basic working knowledge of Excel and how to use it for analyzing data. It is suitable for those interested 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.

Data Visualization with Python

(0 hours)
One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course, you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights.

IBM Data Analyst Capstone Project

By completing this final capstone project, you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. You will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets.

Data Visualization and Dashboards with Excel and Cognos

Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers 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 writing any code.

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