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Alex Aklson, Rav Ahuja, Joseph Santarcangelo, Steve Ryan, Sandip Saha Joy, Ramesh Sannareddy, Sandip Sasha Joy, Saishruthi Swaminathan, and Azim Hirjani

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.

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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.

What you'll learn

  • Create charts and plots in Excel, and work with IBM Cognos Analytics to build dashboards.
  • Describe the data ecosystem and Compose queries to access data in cloud databases using SQL and Python from Jupyter notebooks.
  • Develop a working knowledge of Python language to analyze data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services.
  • Perform data analysis tasks like data mining and data wrangling using Excel spreadsheets and Jupyter Notebooks.
  • Visualize data using Python libraires like Matplotlib, Seaborn, and Folium.

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What's inside

Nine courses

Analyzing Data with Python

(15 hours)
Learn to analyze data using Python in this introductory course. You will go from understanding the basics of Python to exploring many different types of data through lecture, hands-on labs, and assignments. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!

Visualizing Data with Python

(15 hours)
A picture is worth a thousand words. This especially applies when trying to explain the insights obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.

SQL for Data Science

(12 hours)
Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and extracting various data types from databases. A working knowledge of databases and SQL is necessary to advance as a data scientist or a machine learning specialist. The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language.

Python Basics for Data Science

(21 hours)
Kickstart your Python for data science journey with this beginner-friendly course. You'll learn Python basics, work with data in Python, and create your own Python scripts. Upon completion, you'll be able to perform basic hands-on data analysis using Jupyter Notebooks.

Analyzing Data with Excel

(12 hours)
This course provides students with the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course consists of several videos, demos, examples, and hands-on labs to help you learn, and ends with a final assignment project which will help you put what you have learned into practice.

Data Visualization and Building Dashboards with Excel and Cognos

(10 hours)
This course provides students with the basics required to create data visualizations and dashboards using both Microsoft Excel and IBM Cognos Analytics. You begin the process of telling a story about your data by creating several basic and advanced charts in Excel and learning how to add them to a digital dashboard.

Data Analytics and Visualization Capstone Project

(15 hours)
This course provides students with the opportunity to assume the role of an Associate Data Analyst. In this role, you will use Data Analytics skills and techniques on real-world datasets to complete a business task.

Data Analytics Basics for Everyone

(12 hours)
In this course, you will learn about the various components of a modern data ecosystem and the role Data Analysts, Data Scientists, and Data Engineers play in this ecosystem. You will gain an understanding of data structures, file formats, sources of data, and data repositories. You will understand what Big Data is and the features and uses of some of the Big Data processing tools.

Python for Data Science Project

(4 hours)
This mini-course is intended for you to demonstrate foundational Python skills for working with data. You will work on a hands-on project where you will develop a simple dashboard using Python.

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