Course Description

This course provides an in-depth understanding of data analysis using Python. Learn how to process, analyze, and visualize data, and make data-driven decisions with Python and Tableau.

What You'll Learn

• Python for Data Analysis: Learn Python libraries like Pandas and NumPy for efficient data manipulation.
• Data Visualization: Create compelling visualizations using Matplotlib, Seaborn, and Tableau.
• Data Preprocessing: Understand data cleaning, feature engineering, and preprocessing techniques.
• Statistical Analysis: Learn statistical methods to summarize and interpret data.
• Machine Learning Basics: Gain an introduction to supervised and unsupervised learning with scikit-learn.
• Real-World Projects: Work on projects such as sales analysis, customer segmentation, and predictive modeling.

Course Highlights

• Hands-on Projects: Apply concepts with real-world datasets and case studies.
• Visualization Mastery: Learn to create interactive dashboards with Tableau.
• Placement Assistance: Get job assistance and career guidance to enter the analytics industry.

Why Choose This Course?

This course is designed for anyone looking to build a career in data analytics. Whether you're a beginner or have some programming experience, this program will equip you with the skills to analyze and visualize data effectively and communicate insights clearly.