Data Science Course Certification

Course Overview

• Course Duration:4 Months (Including Lab Work, Internship, and real-world assignment).
• Modes of Training: Online Classes/Offline Training (at selected centers).

Data Science Certification Course

• Learn the fundamentals of data science, statistics, and data analysis.
• Work with Python and R for cleaning, processing, and visualizing datasets..
• Understand machine learning algorithms for prediction and classification.
• Explore data visualization tools like Tableau and Power BI.
• Gain hands-on experience with real-world data science projects.
• Prepare for the Global Data Science Professional credential preparation assessment.

Overview of Data Science Certification

The Data Science credential preparation Course is designed to help learners master analytical thinking and technical expertise required in today's data-driven world. It covers everything from data collection and preprocessing to predictive modeling and visualization, providing the specialized analytical expertise needed to advance your career in the modern tech landscape.

Through real-world projects, learners gain hands-on exposure to machine learning, AI integration, and statistical modeling. By the end of this course, you'll be able to extract insights from complex datasets and earn your Data Science credential preparation, paving the way for a career as a Data Analyst or Data Scientist.

1. Programming Basics

• Learn Python & R for Data Science.
• Data Types, Variables, Functions, Loops.

2. Statistics & Mathematics

• Probability, Linear Algebra.
• Descriptive & Inferential Statistics.

3. Data Cleaning & Formatting

• Data Wrangling Techniques.

4. Data Visualization

• Charts, Graphs, Dashboards.
• Tools: Matplotlib, Seaborn, Tableau (Intro).
• Supervised & Unsupervised Learning.
• Algorithms, Model Evaluation.

6. Advanced Analysis

• Time Series Forecasting.
• Natural Language Processing (NLP).