This Data Science Training program is designed for learners who want to gain in-demand skills through hands-on projects and real-world tools. Led by an experienced data science tutor, this course blends practical learning with strong theoretical foundations in Python, Tableau, and Machine Learning.

Module 1: Introduction to Data Science

• What is Data Science?

• Overview of data science programs and career paths

• Data Science lifecycle

• Types of data and data sources

Module 2: Python Programming for Data Science

• Python basics: variables, data types, syntax

• Conditional statements, loops, and functions

• Working with Python libraries: NumPy, Pandas

• Data manipulation and data cleaning

• Data visualization using Matplotlib and Seaborn

• Real-world exercises guided by your data science tutor

Module 3: Tableau Training – Visual Analytics

• Getting started with Tableau (Interface & setup)

• Connecting Tableau to various data sources

• Creating visualizations, charts, and dashboards

• Using filters, parameters, groups, and sets

• Table calculations and calculated fields

• Data storytelling techniques with your tableau tutor

• Case studies and industry-level Tableau Training exercises

Module 4: Data Analysis & Statistics

• Descriptive statistics and data summaries

• Probability and distributions

• Hypothesis testing

• Correlation and regression

• Applying statistics in real-world datasets

Module 5: Introduction to Machine Learning

• Supervised vs. unsupervised learning

• Key algorithms: Linear Regression, Logistic Regression, Clustering

• Model building, training, and evaluation

• Data preprocessing for Machine Learning

• Real-life Machine Learning project guidance from your data science tutor

Module 6: Capstone Project

• Complete project using Python and Tableau

• Data sourcing, cleaning, exploration, modeling, and visualization

• Presenting actionable insights using dashboards and reports