Data Analytics Basics for Everyone

IBM via Edx

Beginner

Online

5 Weeks

Free

particular

details

                                    Medium of instructions
                                    English

                                    Mode of learning
                                    Self study

                                    Mode of Delivery
                                    Video and Text Based

                                    Learning efforts
                                    2-3 Hours Per Week
                                

About the Course

General Information
Syllabus
Grading Scheme

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

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Course Team and Notices

Course Team
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Data Analytics Basics for Everyone

Beginner

Online

5 Weeks

Free

Quick Facts

Course and certificate fees

Type of course

Free

certificate availability

certificate providing authority

certificate fees

The syllabus

About the Course

Module 1 - What is Data Analytics

Module 2 - The Data Analyst Role

Module 3 - The Data Ecosystem and Languages for Data Professionals

Module 4 - Understanding Data Repositories and Big Data Platforms

Module 5 - Gathering Data

Module 6 - Wrangling Data

Module 7 - Analyzing and Mining Data

Module 8 - Communicating Data Analysis Findings

Module 9 - Opportunities and Learning Paths

Final Quiz

Final Assignment

Course Rating

Badge

Course Team and Notices

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