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4.86(7)

Data Science Using Python

  • by Handson
  • Course level: All Levels

Description

In this course you will learn all the fundamental concepts of Statistics, Basics of Python followed by the advanced techniques, i.e., Supervised Learning, Unsupervised Learning and Concepts of Neural Network i.e. Artificial Neural Network, Convolutional Neural Network and Recurring Neural Network. Whether you are fresher or experienced in programming, this course will put you on the quick track to honing your Data Science using python skills. In this course you’ll get hands-on experience in Python that you’ll be able to immediately apply in the real world.

What Will I Learn?

  • Hands-On Capstone project
  • Case studies
  • For the industry by the industry
  • Cutting edge curriculum

Topics for this course

Lesson 1: Data Science Fundamentals

Lesson 2: Data Science Implementation

Lesson 3: The Impact of Data Science

Lesson 4: Introduction to Analytics and Statistics

Lesson 5: Introduction to Python Programming

Lesson 6: Fundamentals of Python Programming

Lesson 7: Python Data Types

Lesson 8: Python OOPs concept and Function

Lesson 9: Python File Handling

Lesson 10: Data Analysis with Python and Visualization

Lesson 11: Introduction to Machine Learning

Lesson 12: Linear Regression Analysis

Lesson 13: Logistic Regression Analysis

Lesson 14: Other Classification Algorithms

Lesson 15: Dimensionality Reduction

Lesson 16: Clustering Technique

Lesson 17: Introduction to Neural Network

Lesson 18: Software and Libraries for Neural Network

Lesson 19: Artificial Neural Network (ANN)

Lesson 20: ANN Implementation

Lesson 21: Convolution Neural Network (CNN)

Lesson 22: Recurrent Neural Network (RNN)

Student Feedback

4.9

Total 7 Ratings

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1 rating
4
1 rating
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The course is very much to the point. It increases one\'s passion to study Data Science by summarizing the main topics Its simply brilliant.

This is a great course for anyone willing to start exploring the field of Analytics using SAS. It starts with basic definitions with proper examples that helps to understand this field with a greater ease.

As a non-technical fresher this course helped me to learn from scratch. Before joining this course I was worried about the coding part. My trainer was very cooperative and cleared my all doubts. It was a good experience learning Python at Handson.

This course is designed to make you job-ready for the current market scenario. After completing this course now I am working as a Data analyst. I am really grateful to Handson.

Great course to start working with Python. The course content covered every detail of the topic. Highly recommended course.

Great course. The examples were very much useful to learn each and very topic.

This course is taught from the basics and it gradually proceeds towards the advanced part. Every technique is taught with examples. Highly recommended course.

Data science-Python
15000

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