Python for Data Science

Categories: python
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About Course

Python for Data Science is designed for users looking forward to build a career in Data Science and Machine Learning related domains. You will learn how to do Data Visualization, Data Web Scraping using Scrapy & Beautiful Soup, Exploratory Data Analysis, Basics of Image Processing using OpenCV. The course focuses on hands-on experience in building Web Crawlers, File-handling using Pandas and Automation using Selenium. You will learn Data Crunching using Web APIs like Twitter API,Google Maps API, etc. You will be working in 5 mini projects in the course. Having a prior knowledge of Python Basics is going to come in handy for this course as well. Prateek Narang, who is quite popular for his teaching methodology is the lead instructor for this course. This exhaustively built course will get you placed at bigwigs like Curefit, Zeta, Goldman Sachs, Mercedes, Fractal Analytics, Amazon, 1mg, Analytics Vidhya, etc. Take the next leap by doing Machine Learning & Deep Learning after this course will help you to achieve your aim of becoming an industry ready data scientist.

Highlights

• Intermediate Python Videos
• Lifetime Assignment access
• 4 mini projects

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What Will You Learn?

  • Introduction to Python for Data Science
  • Data Manipulation with Pandas
  • Data Cleaning and Preprocessing Techniques
  • Data Visualization with Matplotlib and Seaborn
  • Exploratory Data Analysis (EDA)
  • Statistical Analysis with Python
  • Introduction to Machine Learning with Scikit-Learn
  • Working with Big Data in Python
  • Data Science Workflow and Best Practices
  • Real-World Data Science Projects Using Python

Course Content

Quickstart Mode
6 Items | Duration : 56mins

Asynchronous Programming
3 Items | Duration : 32mins

Numpy
6 Items | Duration : 1hrs

Pandas
5 Items | Duration : 1hrs

Data Visualisation
11 Items | Duration : 1hrs

Seaborn
3 Items | Duration : 44mins

OpenCV
5 Items | Duration : 43mins

Project 01 – Face Recognition
5 Items | Duration : 1hrs

Challenge – Create SnapChat Fillters
1 Items | Duration : 1hrs

Project 02 – Movie Recommendation System
4 Items | Duration : 59mins

Linear Algebra Concepts
13 Items | Duration : 3hrs

Linear Algebra In Practice!
4 Items | Duration : 1hrs

Feature Selection
5 Items | Duration : 53mins

PCA
6 Items | Duration : 1hrs

Data Acquisition – BeautifulSoup
6 Items | Duration : 37mins

Data Acquisition – Using Web APIs
5 Items | Duration : 30mins

Challenge – Chuk Norris Jokes
1 Items | Duration : 1hrs

Data Acquisition – Web Crawler using Scrapy
6 Items | Duration : 46mins

Challenge – Scrape a Shopping Website
3 Items | Duration : 1hrs

Project 03 – Automating Codechef Submissions
1 Items | Duration : 22mins

Project 04 – Creating a Telegram Bot
7 Items | Duration : 2hrs

Getting started with Machine Learning
8 Items | Duration : 1hrs

Challenge – Hardwork Pays Off
1 Items | Duration : 1hrs

Flask and Web Deployment
5 Items | Duration : 1hrs

Basics of Git/Github
3 Items | Duration : 21mins

SQL
10 Items | Duration : 2hrs

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