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Data Science

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4.5 (1283 ratings)
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lifelong access

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Intermediate level

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1942+ learners

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Language: English

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8 Hours

Data science is a concept to unify statistics, data analysis and their related methods in order to understand and analyse actual phenomena.

course_id
Instructor Photo

Nikanksha Jain

Data Science
8 Hours

Chapters

Course Overview

Course Overview

This course will enable you to

  • List Item Gain knowledge of different Data Science Models
  • List Item Learn the Process of cleaning data
  • List Item Learn the process to apply Feature Engineering
  • List Item Learn how to use Python Language

What’s included?

  • List Item2 project files
  • List ItemLearning groups
  • List ItemCertificate on completion
  • List ItemInternship opportunities
  • List ItemFlexible learning & lifelong access

Learner’s from this course got opportunities at

+142 more

Titles include

Data Scientist, Data Analyst

More details

Accelerate your career in Data Science with the exclusive Data Scientist course. Experience world-class Data Science training by a leader on the most in-demand Data Science and Machine learning skills. Designed for freshers and young professionals exploring rewarding careers in Data Science. Gain hands-on exposure to key technologies including Statistics, Maths, Python, Data Science and Machine Learning tools & techniques and its applications. Learn through immersive lectures delivered by our expert faculty online. Unschool Learning have been ranked among India’s Top Data Science course. Deepen your expertise by working on online data science sessions. Exclusive campus hiring drives for internship with analytics companies.

Learn the unschool way

Learn the unschool way

Experiential learning
Experiential learning

Internships, projects and practical teaching methods. Unschooling all the ways of traditional textbook knowledge.

Experiential learning
Weekly discussions and webinars

Get industry insights and updates by subject matter experts every week.

Experiential learning
Community

Become a part of an inspired community within and beyond your field of interest. Get access to unlimited opportunities.

About the instructor

About the instructor

Instructor Photo

Nikanksha Jain

Former ERS PTS Software Engineer

Nikanksha Jain has been working with HCL Technologies for years. She has completed her Master of Computer Application(MCA) from Banasthali University, Jaipur in 2013. The key strengths that she possess for success in this position include Statistics, Machine Learning, Python, Natural Language Processing, Deep Learning – Neural Networks, R, SQL Big Data, Tableau – Data Visualization, Forecasts, Tables, Charts, Dashboards.

  • Courses1 course
  • Students1942 students
  • Ratings4.6 instructor ratings

Student reviews

Student reviews

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Kishor Jeevan Rankhamb
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It's a fabulous Journey with Unschool Data Science Course… I got so much Deep knowledge of Data Science and How data Science is used mainly in python and with others… in my opinion Unschool is the best of the best platform for learning data Science Course…If they have a star rating then I will give Full star rating if it has 5,10,100 stars.Thanks, Unschool for this superb course and I definitely know it will change my future in the Data Science career

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Alli shiva sai
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I really enjoyed the course and the project is done. I also received certificate for the course.

thank you Unschool.

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SHREYANSH KATIYAR
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Till now course is going well as it suppose to be but need to add more details and also more courses related to recent technologies to it so that people get more attracted towards it and rest is good for a beginner to begin.

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Prince prasad
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Data science course is good, i want to purchase machine learning course too.

thanks to unschool support team they helped me initially.

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Rutuja Sanjay More
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It was a great experience with unschool and it's a great platform for students. Every concept of this course learnt very perfectly and simple and that's why it's so easy to understand .it helps to increase my knowledge in Datascience .thank you Unschool.

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Frequently asked questions

Frequently asked questions