About Course

The Data Science & Analytics course provides a complete roadmap to becoming a data-driven professional. This program covers essential skills including statistics, data visualization, programming, and machine learning. Whether you're aiming to become a data analyst, data scientist, or decision-maker in your organization, this course equips you with the tools and real-world techniques to extract insights and drive smart decisions.

Module 1: Introduction to Data Science & Tools

What you'll learn:

• Overview of data science lifecycle and key terminology
• Install and use Python, Jupyter Notebooks, and Power BI

Course Benefits:

Understand the ecosystem and tools needed for end-to-end data workflows.

Module 2: Statistics & Data Analysis Fundamentals

What you'll learn:

• Descriptive & inferential statistics, probability, distributions
• Data summarization and hypothesis testing

Course Benefits:

Develop a strong statistical foundation for interpreting data trends and behaviors.

Module 3: Data Cleaning & Manipulation with Python

What you'll learn:

• Use pandas, NumPy for cleaning and transforming datasets
• Handle missing data, outliers, duplicates, and normalization

Course Benefits:

Improve data quality for accurate analysis and reporting.

Module 4: Data Visualization & Dashboards

What you'll learn:

• Create dashboards using Power BI and Matplotlib/Seaborn
• Design compelling data stories through charts and graphs

Course Benefits:

Learn to visually communicate insights for stakeholders and clients.

Module 5: SQL for Data Analytics

What you'll learn:

• Query data from relational databases using SQL
• Joins, filtering, grouping, and subqueries

Course Benefits:

Extract and analyze structured data efficiently from any business database.

Module 6: Introduction to Machine Learning

What you'll learn:

• Understand supervised vs unsupervised learning
• Build simple models with scikit-learn (e.g., linear regression, KNN)

Course Benefits:

Begin your ML journey by applying predictive models to real data.

Module 7: Capstone Project

What you'll learn:

• Apply EDA, visualization, SQL, and machine learning on a complete dataset
• Present insights and recommendations via a live dashboard/report

Course Benefits:

Showcase your full-stack data science skills through a practical business case study.

Course Benefits Summary:

This course blends theoretical knowledge with hands-on experience, preparing you for data-driven roles across industries. You'll graduate with strong technical skills, analytical thinking, and an impressive portfolio of projects.

• Instructor-led sessions with industry use-cases
• Personalized mentoring and feedback on projects
• Tools-focused learning: Python, SQL, Power BI
• Real datasets and analytics case studies
• Regular assignments, tests & doubt-clearing labs
• Certificate awarded on successful course completion*

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