Data Science

average rating is 4.5 out of 5

Lifelong Access

3456+ Learners

50+ Internship Partners

2 Live Projects

Assured Internship

Live Mentorship length

8 Hours

Mentor

Nikanksha Jain

Program Chapters

Introduction to Data Science

Data Science is a new powerful approach and discipline which combines aspects of statistic, Math’s, Programming language and Visual technique to turn data into information in semi and fully automatic passion.

Installation of Jupyter Notebooks

Anaconda Navigator is a desktop graphical user interface (GUI) included in Anaconda distribution that allows you to launch applications and easily manage conda packages, environments, and channels without using command-line commands. Navigator can search for packages on Anaconda Cloud or in a local Anaconda Repository. It is available for Windows, macOS, and Linux.

Python for Data Science

Python is a popular programming language. It was created by Guido van Rossum, and released in 1991.It is used for web development (server-side), software development, mathematics, system scripting.

Statistics for Data Science

To become a successful Data Scientist you must know your basics. Math and Stats are the building blocks of Machine Learning algorithms. It is essential to know the techniques behind various Machine Learning algorithms in order to know how and when to use them.

Machine learning Part 1,2 and 3

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. It includes Linear Regression, Multiple Linear Regression, Logistic Regression, Decision Tree, Random Forest, Support Vector Machine(SVM), K-Nearest neighbors(KNN), Naïve Bayes.

+1 Bonus Chapters

About the course

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

Course 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.

Learners from this course got placed in

Amazon, Healthify & 142 more companies

Job & Internship titles include

Data Scientist, Data Analyst

Anchor 1

Overview

Chapters

Benefits

About Mentor

This program will enable you to

Gain Knowledge Of Different Data Science Models

Learn The Process Of Cleaning Data

Learn The Process To Apply Feature Engineering

Learn How To Use Python Language

Exclusive campus hiring drives

What's included?

2 Project Kit

Live projects provided by companies

Assured Internship

Internships accelerate your career

Certification of Program

Recognized by 10,000+ companies

Live Mentor Sessions

Not ordinary sessions, talk to our mentors

Lifetime Recorded Course

Flexibility of learning anywhere, anytime

What's exciting?

Live Mentor Sessions

Not just recorded sessions, our industry experts conduct 1:1 sessions to guide you as a guru

Expert Guided Projects

Our panel experts guide you to complete the projects with full effectiveness

Assured Internship

All platforms "Help", we "Assure" you internships in our partner companies.

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About the Mentor

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.