Data Science Course
Created By: Training Head
What you'll learn
- High-Demand Career Path
- Master Industry Tools
- Learn by Doing
- No Prior Experience Needed
Requirements
This course is designed for beginners, so no prior experience in programming or data science is required. However, a basic understanding of mathematics and logical thinking will help grasp core concepts more effectively. Learners should be comfortable using a computer and have a working knowledge of spreadsheets like Excel. A laptop or desktop with a stable internet connection is essential for practicing coding, working with tools like Power BI, and completing assignments. Most importantly, curiosity about data, problem-solving skills, and a willingness to learn are key to making the most of this course.
Course Description
The Data Science Course (Beginner Level) is a structured 3-month program tailored for individuals looking to build a strong foundation in data handling, analysis, and machine learning. The course starts with Python programming, introducing essential libraries like NumPy and Pandas, followed by practical training in Excel and Advanced Excel for data manipulation and dashboard creation. In the second month, learners dive into SQL/MySQL for database management and gain hands-on experience with Power BI for data visualization and interactive dashboards. The final month introduces core machine learning concepts, including supervised and unsupervised learning, and guides students through building simple ML models like Linear Regression and K-Nearest Neighbors using Python. The program concludes with a capstone project that allows learners to apply their skills in a real-world scenario, preparing them for entry-level roles in data science and analytics.
Course Content
Python Basics: Data Types, Loops, Functions, Libraries (NumPy, Pandas)
1 lectures, 01:00:00 hrs
chepetr 1
Excel: Formatting, Charts, Pivot Tables
0 lectures, 00:00:00 hrs
Advanced Excel: Formulas, Dashboards, Data Cleaning
0 lectures, 00:00:00 hrs
SQL/MySQL: DDL, DML, Joins, Subqueries
0 lectures, 00:00:00 hrs
Power BI: Interface, Data Load, Basic Dashboarding
0 lectures, 00:00:00 hrs
Data Visualization Techniques
0 lectures, 00:00:00 hrs
Machine Learning Introduction
0 lectures, 00:00:00 hrs
Machine Learning Introduction
0 lectures, 00:00:00 hrs
Types of ML: Supervised vs Unsupervised
0 lectures, 00:00:00 hrs
Simple ML Models with Python (Linear Regression, KNN)
0 lectures, 00:00:00 hrs
Final Capstone Project
0 lectures, 00:00:00 hrs
This course helped me understand the core tools used in data science. Even though I started with very little tech knowledge, I was able to complete the capstone confidently. Highly recommend it to all beginners.
Very well structured! I found the practical exercises in SQL and Excel extremely helpful. The dashboard creation in Power BI was a highlight for me.
The course does justice to its beginner label. Everything is broken down with examples. The Python section could be a bit more detailed, but overall it's a great foundation course.
Exactly what I needed to switch careers into data analytics. No prior experience needed, just a willingness to learn. The modules on Power BI and machine learning were especially insightful.
I liked the smooth transition from Excel to Power BI and then to Python-based ML. The course made sure I didn't feel overwhelmed. The final project was a solid way to bring everything together.
Great for building strong fundamentals. From spreadsheets to simple machine learning models, the content is relevant and job-oriented. The instructors did a great job simplifying tough concepts.
As someone new to tech, I was worried I'd fall behind, but the way this course explains concepts step by step is brilliant. I especially liked the hands-on practice with Excel and SQL.
The course covered all the essentials – Python, SQL, Excel, and even machine learning. I loved the live dashboarding in Power BI. It's perfect for beginners like me who want to get into data roles.
Very practical and hands-on. The SQL and Power BI parts were especially useful for job readiness. I appreciated how everything built up gradually over three months.
This course made data science feel approachable. I had no coding background, but the Python basics and Excel modules were very beginner-friendly. The capstone project gave me real confidence in applying what I learned.
₹23,500.00
This Course Includes:
Duration : 3 Months
Lectures : 36
Offline & Online Mode
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