Certificate Program on Basics of Data Analytics

Course Objective To introduce learners to the fundamental concepts, tools, and techniques of data analytics, enabling them to collect, clean, analyze, visualize, and interpret data to support decisionmaking.

Course Instructor: Aman Jha

FREE

Course Overview

Key Learning Outcomes
By the end of the course, students should be able to:
 Understand the role of data in business and research.
 Work with different types of data (structured and unstructured).
 Use tools like Excel, SQL, and Python (or R) for basic data analysis.
 Perform data cleaning and preprocessing.
 Generate descriptive statistics and visualizations.
 Interpret basic analytical results to inform decisions.
Who is it for?
 Beginners in data analysis
 Business professionals looking to use data
 Students or career-switchers exploring data roles

Duration 30 hours

Schedule of Classes

Course Curriculum

8 Subjects

Basics of Data & Analytics

Introduction to Data Analytics

Types of Data (Structured/Unstructured)

Data Collection & Cleaning Data understanding, Data preparation

Statistics & Probability

Descriptive Stats (Mean, Median, Variance)

Probability & Distributions

Hypothesis Testing, p-values Statistical analysis

Data Visualization

Data Reporting (Dashboards)

Tools: Power BI / Tableau / Excel

Matplotlib, Seaborn (Python) Data storytelling

Data Wrangling & Cleaning

Data Cleaning (Handling Missing Data, Outliers)

Pandas, NumPy Data preprocessing

Databases & SQL

SQL Queries (Select, Join, Group By)

Data Warehousing Query optimization

Advanced Analytics

Exploratory Data Analysis (EDA)

Predictive Modeling (Basic ML) Pattern finding

Projects

Sales Forecasting

Customer Segmentation Real-world problem solving

Basic Data Analysis Techniques

Correlation and causation

Trends and patterns

Course Instructor

Aman Jha

26 Courses