FINISHING SCHOOL PROGRAM: for Data Science Jobs
Certification by GRADSKEY
- Foundation
- Medium
- Certificate
Data Science
Syllabus
65 hours of intractive online class.
Module 1: Foundations of Data Science |
|---|
|
Introduction to Data Science and Analytics |
|
Business Problem Solving with Data |
|
Data Science Lifecycle |
|
Industry Applications of Data Science |
Module 2: Python for Data Science |
|---|
|
Python Programming Fundamentals |
|
Data Structures and Functions |
|
NumPy for Numerical Computing |
Module 3: Data Preparation & Exploratory Data Analysis |
|---|
|
Data Collection and Cleaning |
|
Handling Missing and Inconsistent Data |
|
Exploratory Data Analysis Techniques |
Module 4: Statistics & Mathematics for Data Science |
|---|
|
Descriptive and Inferential Statistics |
|
Probability Concepts |
|
Hypothesis Testing |
|
Linear Algebra and Calculus Fundamentals |
Module 5: Data Visualization & Business Intelligence |
|---|
|
Data Visualization Principles |
|
Matplotlib and Seaborn |
|
Dashboard Development with Power BI |
|
Data Storytelling and Reporting |
Module 6: Machine Learning Fundamentals |
|---|
|
Supervised Learning Algorithms |
|
Unsupervised Learning Algorithms |
|
Model Evaluation Techniques |
|
Feature Selection and Optimization |
Module 7: Advanced Data Science & AI |
|---|
|
Deep Learning Fundamentals |
|
Natural Language Processing Basics |
|
Generative AI and Large Language Models |
|
MLOps and Model Deployment Concepts |
Module 8: Industry Projects & Placement Readiness |
|---|
|
Real-World Data Science Projects |
|
Case Studies and Business Applications |
|
Resume, Portfolio, and GitHub Building |
|
Interview Preparation and Placement Training |
Instructor
Corporate Instructors
From Premier Companies.
“Instructors are from Corporate – Software Engineers from premium companies, working on the cutting-edge technologies and Java on a day to day basis..”
What Our Learners Say