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Data Science | Video Course by Adda 247

What will you get

114Videos

Validity

Salient Features

Get Access To The Top Expert Faculties Of India For Best Preparation
Expert Faculties
Get Access To Carefully Curated High-quality Content For Best Clarity
High-quality Video Material
Learn Anytime, Anywhere, And At Your Own Pace With Adda's Videos
Self Paced Learning
Learn Across Devices, Compatible With Mobile, Tabs, And Desktops
Device Compatibility

For Admission Enquiry Call at 08130209247Copy to clipboard

Top Faculties

₹ 2,117

Product Highlights

Access to Carefully Curated Lectures by Top Faculty
High Quality Videos with Quality change & Playback Speed facility
Doubt Solving on App, Telegram Groups & In Person at offline Centers
⁠Seminar & Topper Talks at Offline Centers
In-Person Counseling, Physical Support Helpdesk at Offline Centers

Exams Covered

Skill Development

This Course Includes

114 Videos

Faculty Profile

Atulya Kaushik .

PROGRAMMING_AND_DATA_STRUCTURE

Multiple Years of Experience
Subject Matter Expert

Overview
This Package Includes
Video Uploading Plan
Subjects Covered
Exam Pattern
FAQs

Overview

Learn Data Science Skills: Understand how to work with files, SQL, and SQLite for managing data. Use APIs to get dynamic data and tools like Beautiful Soup and Selenium for web scraping. Learn data wrangling, analysis, and predictive modeling to solve real-world problems.

Comprehensive Topics Covered: The course includes data cleaning, feature engineering, statistical methods, machine learning, and basics of deep learning. It also covers tools for data visualization and deploying models on the cloud.

Industry-Standard Training: Part of the PrepInsta Prime series, this program is offered with Adda 247 to provide training guided by experienced data science professionals.

For Future Data Scientists: Perfect for students and professionals, this course will help you build the skills needed for a career in data science and stand out in the job market.

This Package Includes

1. File Handling: Learn to work with files to organize and process different types of data, a basic skill for data projects.

2. Database Management: Use SQL to query and manage databases, and explore SQLite for simple, portable database solutions.

3. Using APIs: Understand how to get data from external platforms using APIs and include it in your projects.

4. Web Scraping: Use tools like Beautiful Soup and Selenium to gather and analyze data from websites for useful insights.

5. Practical Projects: Apply these skills to solve real problems, like automating data collection, building datasets, and supporting analytics or machine learning tasks.