Course Content
Introduction to Data Analysis
0/3
What is Data Analysis?
01:21
Roles and Responsibilities of a Data Analyst
01:34
Overview of the Data Analysis Process
01:47
Data Type and Data Source
0/3
Types of Data
01:35
Data Sources
01:49
Data Collection Techniques
01:49
Excel & Spreadsheet Basics
0/4
Data Entry and Formatting
01:36
Sorting, Filtering, and Conditional Formatting
01:38
Functions and Formulas
01:49
Pivot Tables and Charts
01:39
SQL for Data Analyst
0/7
Introduction to Databases
02:04
Basic SQL Queries
01:48
Filtering and Aggregations
01:48
Joins and Subqueries
01:46
Data Manipulation
01:45
Hands on Lab on SQL for Data Analyst
SQL for Data Analyst Quiz
Data Cleaning and Preparation
0/3
Common Data Quality Issues
01:48
Cleaning Techniques
01:49
Tools for Cleaning
01:51
Exploratory Data Analysis (EDA)
0/3
Descriptive Statistics
01:38
Data Visualization for EDA
01:43
Identifying Patterns and Trends
01:42
Data Visualization
0/3
Principles of Effective Visualization
01:38
Choosing the Right Chart
01:31
Filters, Slicers, and Drilldowns
01:42
Python for Data Analysis (Beginner Level)
0/5
Python Basics
01:50
Introduction to Pandas
01:45
Data Manipulation with Pandas
01:56
Basic Visualizations with Matplotlib and Seaborn
01:51
Python for Data Analysis (Beginner)
Introduction to Business Intelligence Tools
0/3
Overview of BI
01:48
Power BI / Tableau Basics
01:39
Filters, Slicers, and Drilldowns
01:40
Communicating Insights
0/3
Storytelling with Data
01:37
Presentation Techniques
01:46
Audience Adaptation
01:40
Certified Data Analyst Foundations Course
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