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- General Information
- Syllabus
- Grading Scheme
Quick Facts
| particular | details | ||||
|---|---|---|---|---|---|
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Learning efforts
2-3 Hours Per Week
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Course and certificate fees
Type of course
Free
certificate availability
Yes
certificate providing authority
IBM
certificate fees
₹8,312
The syllabus
About the Course
Module 1 - What is Data Analytics
- Module Introduction and Learning Objectives
- Video: Course Introduction
- Video: Modern Data Ecosystem
- Video: Key Players in the Data Ecosystem
- Video: Defining Data Analysis
- Video: Viewpoints: What is Data Analytics?
- Reading: Data Analytics vs. Data Analysis
- Reading: Summary and Highlights
- Module 1: Practice Quiz
- Module 1: Graded Quiz
- Discussion Prompt: Introduce Yourself
Module 2 - The Data Analyst Role
- Module Introduction and Learning Objectives
- Video: Responsibilities of a Data Analyst
- Video: Viewpoints: Qualities and Skills to be a Data Analyst
- Video: A Day in the Life of a Data Analyst
- Video: Viewpoints: Applications of Data Analytics
- Reading: Summary and Highlights
- Module 2: Practice Quiz
- Module 2: Graded Quiz
Module 3 - The Data Ecosystem and Languages for Data Professionals
- Module Introduction and Learning Objectives
- Video: Overview of the Data Analyst Ecosystem
- Video: Types of Data
- Video: Understanding Different Types of File Formats
- Video: Sources of Data
- Video: Languages for Data Professionals
- Reading: Summary and Highlights
- Module 3: Practice Quiz
- Module 3: Graded Quiz
Module 4 - Understanding Data Repositories and Big Data Platforms
- Module Introduction and Learning Objectives
- Video: Overview of Data Repositories
- Video: RDBMS
- Video: NoSQL
- Video: Data Marts, Data Lakes, ETL, and Data Pipelines
- Video: Viewpoints: Considerations for choice of Data Repository
- Video: Foundations of Big Data
- Video: Big Data Processing Tools
- Reading: Summary and Highlights
- Module 4: Practice Quiz
- Module 4: Graded Quiz
Module 5 - Gathering Data
- Module Introduction and Learning Objectives
- Video: Identifying Data for Analysis
- Video: Data Sources
- Video: How to Gather and Import Data
- Reading: Summary and Highlights
- Module 5: Practice Quiz
- Module 5: Graded Quiz
Module 6 - Wrangling Data
- Module Introduction and Learning Objectives
- Video: What is Data Wrangling?
- Video: Tools for Data Wrangling
- Video: Data Cleaning
- Video: Viewpoints: Data Preparation and Reliability
- Reading: Summary and Highlights
- Module 6: Practice Quiz
- Module 6: Graded Quiz
Module 7 - Analyzing and Mining Data
- Module Introduction and Learning Objectives
- Video: Overview of Statistical Analysis
- Video: What is Data Mining?
- Video: Tools for Data Mining
- Reading: Summary and Highlights
- Module 7: Practice Quiz
- Module 7: Graded Quiz
Module 8 - Communicating Data Analysis Findings
- Module Introduction and Learning Objectives
- Video: Overview of Communicating and Sharing Data Analysis Findings
- Video: Viewpoints: Storytelling in Data Analysis
- Video: Introduction to Data Visualization
- Video: Introduction to Visualization and Dashboarding Software
- Reading: Summary and Highlights
- Module 8: Practice Quiz
- Module 8: Graded Quiz
Module 9 - Opportunities and Learning Paths
- Module Introduction and Learning Objectives
- Video: Career Opportunities in Data Analysis
- Video: Viewpoints: Get into Data Profession
- Video: Viewpoints: What do Employers look for in a Data Analyst?
- Video: The Many Paths to Data Analysis
- Video: Viewpoints: Career Options for Data Professionals
- Video: Viewpoints: Advice for aspiring Data Analysts
- Video: Viewpoints: Women in Data Professions
- Reading: Summary and Highlights
- Module 9: Practice Quiz
- Module 9: Graded Quiz
Final Quiz
- Final Quiz
Final Assignment
- Final Assignment
Course Rating
- Course Rating and Feedback,
Badge
- Badges Frequently Asked Questions
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Course Team and Notices
- Course Team
- Copyrights and Trademarks
Instructors
Mr Rav Ahuja
Global Program Director
IBM
B.E /B.Tech, MBA
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