IBM Data Analyst Professional Certificate credential artwork

IBM Data Analyst Professional Certificate Program Guide

Validates practical skills in data analysis using Excel, SQL, Python and IBM Cognos, including data visualization and dashboards.

Work through 11 courses in order, from data analytics basics and Excel to dashboards, Python, SQL and visualization, then a capstone, generative AI and career preparation. Complete the labs and graded assessments. There is no final exam.

Understand the program

Courses

Rows are courses with Coursera's hour estimates.

Course 1Introduction to Data Analytics (12 hours)
  1. Module 1What is Data Analytics
  2. Module 2The Data Ecosystem
  3. Module 3Gathering and Wrangling Data
  4. Module 4Mining & Visualizing Data and Communicating Results
  5. Module 5Career Opportunities and Data Analysis in Action
Course 2Excel Basics for Data Analysis (13 hours)
  1. Module 1Introduction to Data Analysis Using Spreadsheets
  2. Module 2Getting Started with Using Excel Spreadsheets
  3. Module 3Cleaning & Wrangling Data Using Spreadsheets
  4. Module 4Analyzing Data Using Spreadsheets
  5. Module 5Final Project

Example scenario: A sales sheet has dates stored as text and duplicate order rows. What would you fix first before building a pivot table?

Course 3Data Visualization and Dashboards with Excel and Cognos (16 hours)
  1. Module 1Visualizing Data Using Spreadsheets
  2. Module 2Creating Visualizations and Dashboards with Spreadsheets
  3. Module 3Creating Visualizations and Dashboards with Cognos Analytics
  4. Module 4Final Project
Course 4Python for Data Science, AI & Development (24 hours)
  1. Module 1Python Basics
  2. Module 2Python Data Structures
  3. Module 3Python Programming Fundamentals
  4. Module 4Working with Data in Python
  5. Module 5APIs and Data Collection
Course 5Python Project for Data Science (7 hours)
  1. Module 1Crowdsourcing Short squeeze Dashboard
  2. Module 2Final Project
Course 6Databases and SQL for Data Science with Python (18 hours)
  1. Module 1Getting Started with SQL
  2. Module 2Introduction to Relational Databases and Tables
  3. Module 3Intermediate SQL
  4. Module 4Accessing Databases using Python
  5. Module 5Course Assignment
  6. Module 6Bonus Module: Advanced SQL for Data Engineers

Example scenario: You have one table of customers and one of orders. How would you list customers who have not ordered in the last 90 days?

Course 7Data Analysis with Python (16 hours)
  1. Module 1Importing Data Sets
  2. Module 2Data Wrangling
  3. Module 3Exploratory Data Analysis
  4. Module 4Model Development
  5. Module 5Model Evaluation and Refinement
  6. Module 6Final Assignment
Course 8Data Visualization with Python (19 hours)
  1. Module 1Introduction to Data Visualization Tools
  2. Module 2Basic and Specialized Visualization Tools
  3. Module 3Advanced Visualizations and Geospatial Data
  4. Module 4Creating Dashboards with Plotly and Dash
  5. Module 5Final Project and Exam
Course 9IBM Data Analyst Capstone Project (26 hours)
  1. Module 1Data Collection
  2. Module 2Data Wrangling
  3. Module 3Exploratory Data Analysis
  4. Module 4Data Visualization
  5. Module 5Building A Dashboard
  6. Module 6Final Assignment: Present Your Findings
Course 10Generative AI: Enhance your Data Analytics Career (16 hours)
  1. Module 1Data Analytics and Generative AI
  2. Module 2Use of Generative AI for Data Analytics
  3. Module 3Final Project and Exam
Course 11Data Analyst Career Guide and Interview Preparation (13 hours)
  1. Module 1Building a Foundation
  2. Module 2Applying and Preparing to Interview
  3. Module 3Interviewing

Coursera program page

Format

Courses
11
Duration
180h
Assessment
Quizzes, labs, capstone
Delivery
Online, self-paced
Languages
English

Enrolment

Anyone can enroll on Coursera, which offers a 7-day free trial and financial aid.

Make a study plan

Coursera's course estimates add up to 180 hours, and Coursera suggests 4 months at 10 hours a week.

Most candidates spend 100–200 hours. Coursera's course estimates add up to 180 hours. Plan for the low end if you already use Excel, SQL or Python; plan for the high end if you are new to coding.

18 weeksto be ready
  1. 1Understand the programLook through the courses and how the program is graded.9 h
  2. 3Learn the core conceptsWork through the courses in order and complete the graded work.162 h
  3. 4Finish the programFinish the remaining assessments and claim your certificate.9 h

Learn the core concepts

The program is the course. Add Tableau or Power BI practice if your target jobs ask for them.

See all 3 IBM Data Analyst courses →

Build one more project. Repeat the capstone workflow on a data set you choose, and publish both where employers can see them.

Finish the program

Complete the coursework on your own schedule.

  • Finish all 11 courses and their graded assessments, including the capstone.
  • Retry any quiz or lab below the passing mark.
  • Claim the IBM badge on Credly from the Coursera email. It carries the ACE recommendation of up to 12 college credits.
  • Cancel your subscription if you do not want to keep paying.

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