Data Science and Machine Learning

Data Science and Machine Learning

Grasp the math behind data science and learn advanced algorithms for Machine Learning.
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4.5
250+
Enrollments
20 weeks
Avg. Completion Time
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Offers on this course
  • Flat 30% off
  • Additional exclusive discount of 20% for SVAT clearers
₹39,858
₹56,940
Objective of this track

Learn the syntactical application of python in data science. Get to grips with statistics, probability, and core mathematical concepts, which are the foundations of data science. Gather knowledge on Machine learning algorithms such as Random Forest, Support Vector Machine, and clustering techniques. Enhance your potential to manipulate data, transform it with visualization, and present findings easily and concisely.

  • Access the most popular data science libraries, Numpy, and Pandas to learn manipulation and transformation of data
  • Learn Advanced Machine Learning algorithms with applied statistics and probability and their implementation through python
  • Master visualization techniques using Seaborn and Matplotlib to present your findings efficiently

 

Stages of this track

1
Learn from industry experts
Learn from the masters of industry via live classes, videos, projects, and more
2
Prepare for the interview
Craft a professional resume and take mock interviews with industry experts
3
Connect to top companies
Hit it off with our 300+ partner companies to grab opportunities
4
Land your dream job
Experience our extensive placement assistance to get you the right job

Courses under this track

Course
1

Python fundamentals and Analytics

Learn the fundamentals of python, data structure, and data frames to manipulate and transform data. Explore data science libraries, Numpy, and Pandas.

6 weeks

Python fundamentals and Analytics

Learn the fundamentals of python, data structure, and data frames to manipulate and transform data. Explore data science libraries, Numpy, and Pandas.


10 Chapters

Course
2

Visualization using Matplotlib and Seaborn

Learn how to pick the right visualization technique and master the art of presentation by concisely reporting the findings

3 weeks

Visualization using Matplotlib and Seaborn

Learn how to pick the right visualization technique and master the art of presentation by concisely reporting the findings


3 Chapters

Course
3

Statistics and Probability

Understand the core mathematical concepts of data science to visualize how algorithms function. Learn the basics of machine learning through the application of probability.

3 weeks

Statistics and Probability

Understand the core mathematical concepts of data science to visualize how algorithms function. Learn the basics of machine learning through the application of probability.


4 Chapters

Course
4

Machine Learning - Beginner to intermediate

Learn machine learning through Linear and Logistic regression. Gather the math behind the creation of a model, its evaluation, and how to increase the accuracy of its output.

4 weeks

Machine Learning - Beginner to intermediate

Learn machine learning through Linear and Logistic regression. Gather the math behind the creation of a model, its evaluation, and how to increase the accuracy of its output.


12 Chapters

Course
5

Machine Learning - Advance

Learn advance machine learning algorithms such as clustering, decision trees and SVM

4 week

Machine Learning - Advance

Learn advance machine learning algorithms such as clustering, decision trees and SVM


16 Chapters

Gain a competitive advantage

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  • Access multi-format content

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  • Live-Classes by Experts

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    Learn from the masters of industries

  • Get instant clarifications

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  • Extensive Employment Support

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