Introduction to Data Science Training
Rated 4.0/5 based on 300 customer reviews

Introduction to Data Science Training

Get ready to fulfill the industry demands of data scientists with KnowledgeHut’s training!

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Modes of Delivery


Our classroom training provides you the opportunity to interact with instructors face-to-face.

Online Classroom

Collaborative, enriching virtual sessions, led by world class instructors at time slots to suit your convenience.


This foundational course provides a high-level overview of essential Data Science areas. A basic understanding of Data Science from business and technology perspectives is provided, along with an overview of common benefits, challenges, and adoption issues. The course content is divided into a series of modular sections, each of which is accompanied by one or more hands-on exercises.

On successful completion of the course, you will receive a Course Completion Certificate from KnowledgeHut with Credits (1 credit per hour of training).

What you will learn
  • Get advanced knowledge of data science and how it is used for business intelligence
  • Understand the statistics and probability of Data science
  • Get an understanding of data collection, data mining and machine learning
  • Understand about big data technologies
  • Learn about testing and debugging tools
You will also get:
  • Intensive instructor led classroom training
  • Downloadable, meticulous courseware
  • Hands on exercises for practice
  • Workshop split into easily understandable modules
  • Course completion certificate

Key Features

2 days intensive instructor-led training
Learn from experienced and certified instructors
Hands on exercises for better retention
Downloadable courseware
Get a course completion certificate
Amplify your career opportunities with Data Science


  • Introduction to Data Science Practice
  • Working with Enthought Canopy and Python
  • Overview of course exercises
  • Types of Data
  • Mean, Median, Mode, etc
  • PDF’s, PMF’s, and Distributions
  • Percentiles and Moments
  • Plotting Data
  • Covariance and Correlation
  • Conditional probability and Bayes’ Theorem

BREAK (15 min)

  • Linear Regression
  • Polynomial Regression
  • Multivariate Regression
  • Multi-level models

LUNCH (60 min)

  • Supervised vs. Unsupervised Learning, and Train/Test
  • Bayesian Methods: Concepts and Applications
  • K-Means Clustering
  • Measuring Entropy
  • Decision Trees: Concepts and Applications
  • Ensemble Learning
  • SVM – Support Vector Machines Overview
  • Neural Networks: Concepts and Applications

BREAK (15 min)

  • User-based Collaborative Filtering
  • Item-based Collaborative Filtering
  • Implementing a movie recommendation system

Q & A (10 min)

  • K-nearest neighbors: Concepts and Applications
  • Using KNN to make predictions
  • Dimensionality Reduction; Principal Component Analysis
  • Data Warehousing Overview: ETL and ELT
  • Reinforcement Learning/Deep Learning

BREAK (15 min)

  • Bias/Variance Tradeoff
  • K-Fold Cross-Validation and Overfitting of data
  • Data Cleansing and Normalization
  • Normalizing numerical data and Detection of outliers

LUNCH (60 min)

  • Setting up Spark and Introduction
  • Introducing real-time analytics and RDD
  • Introducing MLib
  • Decision Trees in Spark
  • K-means clustering in Spark
  • TF/IDF
  • Spark exercises

BREAK (15 min)

  • A/B Testing Concepts
  • T-Tests and P-Values
  • Determining how long to run an experiment
  • A/B Test Results and interpretation

Our Students

"The course content covered most of the basics and went deeper into details when required. Good hands-on exercises with practical examples."

"Excellent trainer and with confidence I can handle all sorts of PM scenarios and can challenge your mindset. Very good customer service from KnowledgeHut."

"I learned much from this training session, the faculty had good knowledge of the subject matter and provided good learning examples."

"2days PMP training was very good, I got lot of inspiration from this training."

Shreerang Bhawalkar

Shreerang Bhawalkar

ADP Dealer Services
Milind Gawaskar

Milind Gawaskar

Design Managr at NEC
Jan Miko

Jan Miko

Senior Digital Manager
Ada Lee

Ada Lee

Marketing Director

Frequently Asked Questions

That big data has truly arrived is common knowledge but the question that is plaguing most organizations is how to manage and effectively make use of this data. Data scientists who can mine this data and provide useful insights that will help in the growth of business and organizations are therefore much in demand. This course effectively combines theory and hands on exercises to help you learn about data science and effectively embark on a career as a data scientist. Join now and become one among the several elite bunch of data scientists who command high salaries and respect all over the world.

Basic familiarity with any programming or scripting language, such as Java, PHP, JavaScript, or Python and basic familiarity with data science is expected of participants who wish to attend the workshop.

No, this is a classroom course the location of which is determined weeks ahead of the training schedule and you will be kept informed by email. You can also call our support staff or send us an email at Besides, you can use our chat option for more information.

On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

You will receive 1 credit per hour of learning.

The trainers are highly qualified and certified instructors with years of relevant industry and coaching experience who will hand hold you through the workshop and ensure your success.

It is easy to enroll for classroom training online. There are several options to pay either through your debit/credit card that includes Visa Card, MasterCard; American Express or - via PayPal. Payment receipt will be issued to the candidate automatically by email.

Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding). Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details:

Please send in an email to, and we will answer any queries you may have!

Professionals or students who aspire to become data scientists would benefit from this course.

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