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Data Science with Python

  • Gateway for career with Average Annual Salary of INR 45 lakh in India
  • 46% of Data Scientist Jobs today need Python for Data Science
  • Be a Certified Data Scientist in Python
  • 2 Simulation Projects and 2 Live Projects to give you Hands on Experience
  • Stake Claim for Assured Job Interview with our Hiring Partners
  • Add the Pro Degree Certificate to Your Resume and stay ahead

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Curriculum

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Our Students work in following Companies

Jobs in Data Science with Python

  • Data scientist, provide companies with the deep, technical skills to convert modern mathematical models into a useful business software
  •  Areas Include IT Industry, Consultancies, Financial Services, Retail industry, Companies working in Business Intelligence and Artificial Intelligence Industries
  • The 2020 estimate calls for 3 million job postings for data science roles
  • The average salary for a data scientist is $118,709 versus $64,537 for a skilled programmer
  •  In India, average salary for a skilled Data Scientist with 2 years of experience stands at INR 45 lakh+

Why Data Science with Python?


  • Organizations of all sizes and Industries, be it a financial institution or a small big data start up, everyone is using Python for their business.
  • Python is among the popular data science programming languages not only in Big data companies but also in the tech start up crowd. Around 46% of data scientists use Python.
  • Python has overtaken Java as the preferred programming language and is only second to SQL in usage today. 
  • Python is finding Increased adoption in numerical computations, machine learning and several data science applications.
  • Python for data science requires data scientists to learn the usage of regular expressions, work with the scientific libraries and master the data visualization concepts.
  • With completely different purposes, programmers or professionals who are not knowledgeable about web programming concepts with Python language can easily go ahead and pursue data science in Python programming language without any difficulty.

  • Python is a 23-year-old powerful expressive dynamic programming language where a programmer can write the code once and execute it without using a separate compiler for the purpose. This makes python very convenient.

Who should take this course?

  • Analytics professionals who are passionate to work in Python
  • Software professionals looking to get into the field of analytics
  • IT professionals interested in pursuing a career in analytics
  • Mid Management professionals who need Data to drive strategy for organizations
  • Graduates looking to build a career in analytics and data science
  • Experienced professionals who would like to harness data science in their fields
  • Anyone with a genuine interest in the field of data science

Course Curriculum

  • Introduction

    Course Overview

    Data Science Overview

    Different Sectors which use Data Science - 1

    Different Sectors which use Data Science - 2

    Purpose and Components of Python

  • Mathematics Refresher

    Mean, Median and Mode

    Variation and Standard Deviation

    Probability Functions

    Data Distributions

    Covariance and Correlation

    Histograms

  • Data Analytics Overview

    Introduction

    Exploratory Data Analysis (EDA)

    Quantitative technique for EDA

    Graphical technique for EDA

    Data Predictions

    Data Analytics Communication

    Data Plotting

  • Python Environment Essentials

    Anaconda

    Data Types with Python

    Basic Operators and Functions

  • Mathematical Computing With Python (NumPy)

    Introduction to NumPy

    Activity Sequence

    All about Ndarray

    Basic Operations

    Activity-Slice It

    Copy and Views

    Mathematical Operations of NumPy

  • Introduction
  • Mathematics Refresher
  • Data Analytics Overview
  • Python Environment Essentials
  • Mathematical Computing With Python (NumPy)
  • Scientific Computing with Python (SciPy)
  • Data Manipulation with Pandas
  • Data Visualization Using Matplotlib
  • Hadoop MapReduce And Spark
  • Conclusion
  • Data Manipulation with Pandas

    Introduction

    Understanding Data Frame

    View And Select Data Demo

    Missing Values

    Data Operations

    File Read And Write Support

    Pandas Sql Operation

  • Data Visualization Using Matplotlib

    Introduction To Data Visualization

    Line Properties

    Plot And Subplots

    Types Of Plots

  • Hadoop MapReduce And Spark

    Why Big Data Solutions Are Provided For Python

    Hadoop Core Components

    Python Integration With HDFS Using Hadoop Streaming

    Python Integration With Spark Using PySpark

     

  • Conclusion

    Certificate Test

    Project 1

    Project 2

    Simulation Test 1

    Simulation Test 2

     

Who should take this course?

  • Analytics professionals who are passionate to work in Python
  • Software professionals looking to get into the field of analytics
  • IT professionals interested in pursuing a career in analytics
  • Mid Management professionals who need Data to drive strategy for organizations
  • Graduates looking to build a career in analytics and data science
  • Experienced professionals who would like to harness data science in their fields
  • Anyone with a genuine interest in the field of data science


Course Instructor- Vivek Singhal

  • A leading Data Scientist and thought leader with expertise in Artificial Intelligence and Machine Learning
  • Creator of the innovative Disrupt talk and training series with topics centered around AI, ML, Deep Learning and AI applications
  • Serial Entrepreneur with strong experience in India and USA in AI, telecom and IOT in leading MNCs like IBM, AT&T, Schlumberger as well as several startups like Healthiply, SalesGlobe and LocVille
  • Education : BE (IIT Roorkee), MBA (Georgia State Univ, Atlanta, USA)

Student Reviews and Ratings

4.9

Average Rating
  • 87%
  • 13%
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  1. Profile photo of

    Kesari Nandan

    28 August 2017
    5 stars

    I was looking to move to Uber in a Data Science Profile. This course was a huge enabler.


  2. Profile photo of

    Aastha Sharma

    20 August 2017
    5 stars

    Used the course for corporate training of our employees. It was really beneficial for the team. We now have a strong team of trained Data Scientists.


  3. Profile photo of

    Shristy Raj

    01 August 2017
    5 stars

    Recommended by a friend. Very good mocks.


  4. Profile photo of

    Tanmay Paul

    30 July 2017
    5 stars

    Excellent Course. Very Detailed and thorough.


  5. Profile photo of

    Atul Shree

    28 July 2017
    4 stars

    Helped Improve my profile. DS is the future. Anyone in IT looking to boost their profile should target DS


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