Data Science Mastery Program, Certificate from an AICTE & UGC approved university.
Course duration: 2 months.
Qualification needed: 10+2 (any stream)
Data Science Mastery Program Syllabus Download
Learn Data Science in 60 Days with Skillo School – From Beginner to Advanced
Kickstart your career in data science with the Skillo School Data Science Mastery Course, a complete 60-day program designed to help you build industry-ready skills from scratch. This course covers everything from Python programming and data analysis to machine learning and deep learning.
Data Science Course is one of the fastest-growing and most in-demand career fields, with applications across industries like finance, healthcare, marketing, and technology. With hands-on projects, mentorship, and real-world case studies, you will gain practical experience to become job-ready.
Why Learn Data Science?
This Course helps organizations make data-driven decisions and solve real-world problems.
- High-demand and high-paying career
- Used in AI, Machine Learning, and Analytics
- Applicable in every industry
- Strong future growth opportunities
- Combines programming, statistics, and business logic
Data science integrates programming, statistics, and machine learning to extract insights from data.
Course Highlights
- 60 Days Complete Program
- 60+ Lectures with Assignments
- Beginner to Advanced Level
- Lifetime Access
- Certification on Completion
- 1:1 Mentorship Support
- Internship Assistance
- Real-World Projects
The course includes structured modules covering Python, statistics, machine learning, and deep learning concepts.
Comprehensive Curriculum
Module 1: Introduction to Data Science
- What is Data Science
- Applications and Industry Use Cases
- Data Science Lifecycle
- Understanding Data & Business Problems
Module 2: Python Programming for Data Science
- Python Basics
- Data Types and Operators
- Control Structures and Functions
- Data Structures (Lists, Tuples, Sets, Dictionary)
- Object-Oriented Programming
Python is a core language used for data analysis and machine learning workflows.
Module 3: Data Analysis with Excel
- Data Cleaning
- Data Visualization
- Charts and Dashboards
- Business Reporting
Module 4: Statistics & Probability
- Descriptive Statistics
- Probability Concepts
- Hypothesis Testing
- Regression Analysis
- Central Limit Theorem
Statistics plays a crucial role in analyzing and interpreting data patterns.
Module 5: Advanced Python Libraries
- NumPy (Numerical Computing)
- Pandas (Data Manipulation)
- Matplotlib (Data Visualization)
Module 6: Exploratory Data Analysis (EDA)
- Data Cleaning & Preprocessing
- Feature Engineering
- Data Visualization Techniques
- Insights Generation
EDA is essential for understanding data before applying machine learning models.
Module 7: Machine Learning
- Supervised Learning
- Unsupervised Learning
- Regression Models
- Classification Models
- Model Evaluation
Module 8: Deep Learning & Neural Networks
- Introduction to Deep Learning
- Neural Networks Basics
- Model Building
- Real-World Applications
Module 9: Capstone Projects
- COVID-19 Data Analysis
- Business Data Analysis Project
- Real-world Case Studies
Projects help in applying theoretical knowledge to real-world scenarios.
Who Can Enroll?
- Beginners (No coding background required)
- Students and freshers
- Working professionals
- Non-technical learners
This course is beginner-friendly and suitable for both IT and non-IT backgrounds.
Career Opportunities After Course
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Analyst
- AI Specialist
Course Benefits
- Learn Data Science in just 60 days
- Hands-on real-world projects
- Strong foundation in Python & ML
- Mentorship and doubt support
- Certification & internship assistance
Why Choose Skillo School?
Skillo School focuses on practical learning, real-world applications, and career-oriented training. This course is designed to make you industry-ready within 60 days with a structured roadmap and hands-on experience.
