IBM Data Analyst Professional Certificate Course Syllabus

Overview: This professional certificate program is designed for beginners and provides a comprehensive introduction to data analytics. Through hands-on projects and real-world applications, learners will gain proficiency in essential tools and techniques such as Excel, SQL, Python, Power BI, and IBM Cognos Analytics. The curriculum covers data cleaning, analysis, visualization, and interpretation, culminating in a capstone project. With a total time commitment of approximately 6–7 months at 5–10 hours per week, this course prepares learners for entry-level data analyst roles.

Module 1: Foundations of Data Analytics

Estimated time: 20 hours

• Understand the role of a data analyst in various industries
• Learn about data types, structures, and sources
• Get introduced to Excel, SQL, and Python for data analysis
• Explore common data formats and file handling

Module 2: Data Cleaning and Preparation

Estimated time: 30 hours

• Learn data wrangling techniques for structured and unstructured data
• Use Excel for data cleaning and preprocessing
• Apply Python for data transformation and normalization
• Apply best practices for ensuring data accuracy and consistency

Module 3: Data Analysis with SQL and Python

Estimated time: 40 hours

• Write SQL queries to retrieve and manipulate data from databases
• Use Pandas and NumPy for data analysis in Python
• Perform statistical analysis to uncover patterns and insights
• Work with real-world datasets to answer business questions

Module 4: Data Visualization and Business Intelligence

Estimated time: 50 hours

• Create interactive dashboards using Power BI
• Visualize data using Matplotlib and Seaborn in Python
• Develop data narratives to communicate insights effectively
• Use IBM Cognos Analytics for business reporting

Module 5: IBM Data Analyst Capstone Project

Estimated time: 60 hours

• Work on a real-world business case using IBM’s analytics tools
• Analyze and clean a large dataset to solve a business problem
• Visualize findings and present insights through reports and dashboards

Module 6: Final Project

Estimated time: 10 hours

• Compile all skills into a comprehensive analytics report
• Deliverable 1: SQL query analysis on business dataset
• Deliverable 2: Python-based data cleaning and visualization
• Deliverable 3: Interactive dashboard in Power BI or IBM Cognos

Prerequisites

• No prior experience required
• Basic computer literacy
• Access to a web browser and internet connection

What You'll Be Able to Do After

• Analyze and interpret data using Excel, SQL, and Python
• Clean and prepare data for analysis using industry-standard techniques
• Visualize data with Matplotlib, Seaborn, Power BI, and IBM Cognos Analytics
• Derive actionable business insights from real-world datasets
• Earn an IBM-backed certificate to enhance job prospects as a data analyst