Data Science & Machine Learning Bootcamp with Python

Launch your career as a data scientist/analyst through our cutting edge certified curriculum, expert instructors, real-world projects, and personalized career support.

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  • 5,000+
    Students Empowered
  • Online
    Format
  • 02 months
    Recommended 10-12 hrs/week
  • 26th Sep and 2nd Oct'20
    Start Date
  • 175+
    Course Duration
  • $399 $299
    Program fee (offer valid till 22nd Feb 2021)

PROGRAM OVERVIEW

This bootcamp is specially designed to give a strong foundation to become a Data Scientist. You will get a brief knowledge on Statistical Analysis, Data Preparation and Machine Learning. After completing this course, you will be able to solve business problems using Data Analytics.


175+ Hours Program

  • Pre-Learning Material (30 Hours of Self-paced video-based Learning)
  • Bootcamp (40 Hours of live training over 6 weeks)
  • Post Bootcamp (5 Hours of Online Doubt Clearing Session + 60 Hours of Capstone Project + 40 Hours of Recorded Lectures)

Key Features

  • Up to 6 real life Industry Projects
  • 2 months access
  • Access to virtual cloud for practice international award-winning faculty, separate doubt clearing session

Eligibility

  • Education - Graduate in Maths, Science, Commerce, Statistics, Economics or Management
  • Work Exp. – Fresher/IT/Non-IT

Pre-Bootcamp

INTRODUCTION TO STATISTICS:

  • Self-paced onlineclasses
  • Online instructorsupport
  • Access a series of lectures &10 hours ofcontent 24/7
  • Coverbasicstatisticalprincipleslikemean,median, range,etc.
  • Learn theoretical aspects ofstatistical concepts
  • Real life industry casestudies

DATA EXPLORATION USINGPYTHON:

  • Self-paced online classes
  • Online instructor support
  • Discover data types & data structures in Python, arrays, matrices &more
  • 4 real life industry case studies
  • Practice exercise

DATA VISUALIZATION:

  • VisualizationdatainPythonusingavarietyofcharts & graphs
  • Delve into descriptive & inferentialstatistics
  • Understand LinearRegression
Bootcamp
  • Introduction to Statistics [7 hours]
  • Python Programming [7 hours]
  • Data Warehousing [4 hours]
  • Machine Learning [18 hours: Supervised Learning(13 hours),Unsupervised Learning (5 hours)
  • Introduction to Deep Learning (2 Hours)]
  • Hands-on Session on Live Project [2 hours]
Post Bootcamp
  • Up to 5 Capstone projects (Specify Domain)
  • Hands on Exercise on Python
  • Recording of Bootcamp session
  • Access to learning management system
  • Mentorship for the Project
  • Doubt Clearing Session

PROGRAM STRUCTURE

Pre-requisites


Before you come in, get ready for the Bootcamp.

You will get a series of online tutorials on basis Statistics, Excel and Introduction to Data Science.

40 Hours Bootcamp


Here, you will learn Hands-on Experience on Excel, Python Programming, Statistics and hands-on experience on Machine Learning Techniques.

Post Bootcamp


Learning does not stop here. After completing the Bootcamp, you will work on Capstone Project, case studies. Doubt clearing is also provided.

You will be provided 5-6 Capstone project out of which you can choose according to your domain or your interest.

Programming Languages and Tools Covered


Python

Panda

Numpy

ML

Statistics

SQL

Deep learning

CURRICULUM

  • Define Python
  • Overview of Python
  • Understand Operands and Expressions
  • Values, Types, Variables
  • Conditional Statements
  • Loops
  • Python files I/O Functions
  • Numbers
  • Strings and related operations
  • Tuple - properties, related operations, compared with list
  • List - properties, related operations
  • Dictionary - properties, related operations
  • Set - properties, related operations
  • Packages and Module - Modules, Import Options, sys Path
  • Functions - Syntax, Arguments, Keyword Arguments, Return Values
  • Introduction to NumPy, Pandas and Matplotlib

  • Descriptive Analytics (mean, median, mode, AM, GM, HM, Quartile, Percentile, Decile, Box plot, range, MD, SD, Variance)
  • Covariance, Correlation, skewness, kurtosis
  • Hypothesis Testing (p value, T-test, F-test, Z-test)
  • Introduction to Probability and Distribution

  • Introduction and Overview of Database and DBMS
  • ER Diagram & Logical Database design
  • Introduction to SQL and Querying

  • Practical and theoretical session on Supervised Machine Learning Techniques such as Linear Regression, Logistic Regression, Tree Based Model and Random Forest.
  • Practical and theoretical session on Unsupervised Machine Learning i.e. Clustering.
  • Introduction to Deep Learning.


PROJECT & TRAINING

Our live-projects offering prepares you for a range of analytics offerings in data science domain. For this course we would work on these projects:


  • Predict loan defaults for a bank
  • Predict House Prices
  • Black Friday Sales Prediction
  • Food Demand Forecasting
  • Big Mart Sales Prediction

USP OF PROGRAM

Pre-Learning Material : 30 Hours
40 Hours of Live Online Training over 2 Months

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Learn 10+ In-Demand Skills & Tools

Course Curriculum designed & Created by NASSCOM & 30+ top Notch companies

Course Completion certificate

Get Hands-on experience on 05+ industry project and Get Specialization on 5-6 Capstone Project (Choose any 1)

Case Studies, Quizzes, Assignment & Assessment

  • Top Skills You Will Learn
    Predictive Analytics using Python, Machine Learning, Data Visualization, Data Preprocessing and Data Manupulation.
  • Job Opportunities
    Data Analyst, Data Scientist, Product Analyst, Machine Learning Engineer, Decision Scientist
  • Who Is This Program For?
    Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals
  • Minimum Eligibility
    Bachelor’s degree, no coding experience required

Salary Report




India's 1st Data Science Certification Program



  • India's 1st Data Science Certification validated & recommended by NASSCOM aligned to government approved standards
  • Only Certification Program ensuring that makes you Job ready for the industry from Day 1



Instructors

Learn from India’s leading Data Science faculty and industry leaders


FAQ

A certificate.

The instructor will be available to you for all the queries in the classroom and otherwise with pre-appointment.

Trainers are experts from industry with strong academic pedigree.

A data scientist should know the tools and technologies that are part of this program along with the insight into what and when to implement. Most important passion should be to bring value out of data and use it to solve complex problems.

Connect with us on the phone numbers provided on our website. Our team will make sure you get all the answers to your queries. Giving you the right direction and insights is our goal.

Each have its own good points and have equal demand in the market. Depends on the industry and requirement. For instance, at some places both complement each other while others are best suited for a specific platform. Also, depends on the user as some might find python easy to grasp while for others R comes intuitively

Course Created & Designed By

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