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Python for Data Science: The Ultimate Course

Unlock the potential of Python as you learn to wield a wide range of powerful tools, including NumPy, Pandas, and much more!

Bestseller 122,664+ Learners

Created By Shobhit Nigam

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  • Expert-Taught Videos

  • Guided Hands-On Exercises

  • Outcome Focus

  • Auto-Graded Assessments

  • Cloud Labs

  • Recall Quizzes

  • Real-Time Insights

Starts at

100% Money-Back Guarantee

This Course is Not Available in your region

This Course includes:

  • 6 Hours of On-Demand Videos
  • 25 Guided Hands-On Exercises
  • 13 Auto-Graded Assessments
  • 2 Assignments
  • 48 Recall Quizzes
  • 13 Ebooks

Training for Teams of 5+?

Transform your workforce with access to KnowledgeHut's top-rated courses.

    Starts at

    100% Money-Back Guarantee

    This Course is Not Available in your region

    This Course includes:

    • 6 Hours of On-Demand Videos
    • 25 Guided Hands-On Exercises
    • 13 Auto-Graded Assessments
    • 2 Assignments
    • 48 Recall Quizzes
    • 13 Ebooks

    Training for Teams of 5+?

    Transform your workforce with access to KnowledgeHut's top-rated courses.

    What You Will Learn

    • Gain a complete understanding of coding in Python.
    • Understand databases and how to use them efficiently.
    • Convert data from Excel, CSV into Python data structures.
    • Apply regular expressions to extract data via text files.
    • Interpret and analyze data into useful information.
    • Understand data types in Python.
    Show More

    The KnowledgeHut Edge

    Superior Outcomes

    Focus on skilled-based outcomes with advanced insights from our state-of-the art learning platform.

    Immersive Learning

    Go beyond just videos and learn hands-on with guided exercises, assignments, and more.

    World-Class Instructors

    Course instructors and designers from top businesses including Google, Amazon, Twitter and IBM.

    Hands-On with Cloud Labs

    A fully-provisioned developer environment where you can practice your code right in your browser.

    Real-World Learning

    Get an intimate, insider look at leading companies in the field through real-world case studies.

    Industry-Vetted Curriculum

    Curriculum primed for industry relevance and developed with guidance from industry advisory boards.

    Curriculum

    Video preview 1.

    Learning Objective:

    Get an introduction to working with Python, set up a development environment, and write your first lines of code. 

    Topics Play Video
    • Python What and Why
    • Python - Domains and Platforms
    • Installation and Setup
    • Hello World
    2.

    Learning Objective:

    Learn basic naming conventions in Python and familiarize yourself with its syntax. Gain a foundational understanding of using data with code

    Topics
    • What is Code and Data
    • Creating Data
    • Using Data With Code
    • Syntax and Naming Conventions
    Video preview 3.

    Learning Objective:

    Explore the data types used in Python and get introduced to the Arithmetic Operator. Learn to work with lists and explore important Functions and Features.

    Topics Play Video
    • Introduction to Building Blocks
    • Data Types
    • Arithmetic Operators
    • Lists Basics
    • Important Functions and Features
    Video preview 4.

    Learning Objective:

    Understand Immutability concepts and learn about indexing. Learn to worth with strings using important string functions.

    Topics Play Video
    • Creating and Indexing
    • Negative Indexing, Slicing, and Stepping
    • Immutability Concept
    • Important String Functions
    5.

    Learning Objective:

    Gain a deeper understanding of different data structures in Python and explore List Functions.

    Topics
    • Data Structures
    • Lists
    • List Functions Part 1
    • List Functions Part 2
    • Tuples
    6.

    Learning Objective

    Learn to use conditional statements and loops in Python. Get familiar with different loops such as for loops and while loops.

    Topics
    • Conditional Statements
    • if elif else
    • Other Operators
    • While statement
    • for With Sequences
    7.

    Learning Objective:

    Learn functions in Python and how to use them. Learn to create user-defined functions and how to return values. 

    Topics
    • Introduction to Function
    • User Defined Functions
    • Passing Parameters
    • Return Values
    8.

    Learning Objective:

    Explore the important Modules and Packages in Python and learn to Install and fetch them.

    Topics
    • Introduction
    • Installing Modules
    • Fetching Modules
    • Important Modules and Packages
    9.

    Learning Objective:

    Explore how Python treats files and different modes of opening them. Learn to read, and write into text files.

    Topics
    • What are Files
    • Opening and Reading Text Files
    • Different Modes of Opening Files
    • Reading and Writing Into Text Files
    10.

    Learning Objective:

    Learn to create and write NumPy Arrays and explore Array indexing and slicing.

    Topics
    • What is NumPy?
    • Creating and Using NumPy Arrays
    • NumPy Array Attributes
    • Array Indexing and Slicing
    • Array Operations - Part 1
    • Array Operations - Part 2
    • Different Ways of Creating Arrays
    • Random Number Generation
    11.

    Learning Objective:

    Learn how to use Pandas in Python and explore DateFrame.

    Toipcs
    • Introduction to Pandas
    • Reading Various File Formats
    • Creating Pandas Series and DataFrames
    • Series Operations
    • DataFrame Operations Part 1
    • DataFrame Operations part 2
    12.

    Learning Objective:

    Learn about RegEx, meta characters, and special sequences.

    Topics
    • Introduction to RegEx
    • Meta Characters (part 1)
    • Meta Characters (part 2)
    • Special Sequences (part 1)
    • Special Sequences (part 2)
    13.

    Learning Objective:

    Understand visualization in Python. Introduce yourself to Bar charts, Pie charts, Histograms, and Scatter.

    Topics
    • Introduction to Visualization
    • Basic Plots
    • Sub Plots
    • Bar, Pie, Histogram, and Scatter
    • Plots Using Pandas
    14.

    Learning Objectives:

    Get introduced to Object Oriented Programming and learn to write optimal code. Gain an understanding of Encapsulation, Inheritance and Polymorphism.

    Topics
    • The Concept of Class and an Object
    • Python Class, Methods, Members, Objects
    • Self Updating Values
    • Encapsulation
    • Inheritance
    • Polymorphism
    15.

    Learning Objectives:

    Learn to use other types of files in Python like SAS Files, STATA Files, HDF5 Files, JSON Files, YAML Files.

    Topics
    • Various Types of Files
    • Recap of CSV Files With Pandas
    • SAS Files
    • STATA Files
    • HDF5 Files
    • JSON Files
    • YAML Files
    16.

    Learning Objectives:

    Gain a deeper understanding of databases and how to use them efficiently. Learn to Reading Data, Insert Data, and Update and Delete Data.

    Topics
    • Various Databases
    • Connection and Cursor Objects
    • Reading Data
    • Creating Databases and Tables
    • Insert Data
    • Update and Delete Data
    • Other Databases

    Prerequisites

    • Basic knowledge of computers and data is required 
    • Prior programming experience is beneficial

    What Our Learners Are Saying

    Thanks to KnowledgeHut, you can learn data science at your own pace, free from rigid schedules.

    A
    Anu Singh

    Data Scientist

    The assessments, hands-on exercises, and assignments were perfect. I sharpened my Python skills at my pace and comfort.

    P
    Paridhi Gupta

    Data Engineer

    I am thrilled to have built my foundation in Python in such a immersive yet worry-free way.

    P
    Paritosh Kapadia

    Data Analyst

    Anybody looking to become a skilled Data Scientist will love this on-demand format by KnowledgeHut. 

    P
    Pankaj Gupta

    Software Engineer

    Thanks to this course I am confident in my abilities as a Data Scientist. The course covers basic and advanced concepts.

    S
    Surya Sharma

    Business Analyst

    How Our Course Compares

    YouTube Videos Online Courses KnowledgeHut

    On-Demand Videos

    Immersive Learning Experience

    Hands-On with Cloud Labs

    Structured Curriculum

    Course Curated by Industry Experts

    Auto-Graded Assessments

    Lifetime Access to Courseware

    Course Advisor

    Shobhit Nigam
    Shobhit Nigam

    Program Director

    Shobhit Nigam is Program Director, Data Science at KnowledgeHut. He comes with 19+ years of experience in the field of Data Science, Machine Learning, AI, Embedded Engineering, TOGAF, Linux, Agile, and Lean Six-Sigma.

    Course Advisor

    Shobhit Nigam is Program Director, Data Science at KnowledgeHut. He comes with 19+ years of experience in the field of Data Science, Machine Learning, AI, Embedded Engineering, TOGAF, Linux, Agile, and Lean Six-Sigma.

    Shobhit Nigam
    Shobhit Nigam

    Program Director

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    Frequently Asked Questions

    Yes, you will experience KnowledgeHut's immersive learning in an on-demand format. This will include e-learning material to help you:

    • LEARN with recall quizzes, interactive ebooks, and case studies
    • ASSESS your skills progression with diagnostic, module-level, and final assessments
    • PRACTICE with real-world simulations and Cloud Labs
    • GAIN INSIGHTS with real-time reports and analytics on how you're progressing, your learning challenges, and suggestions of sections to revisit to build competency in the required areas.

    Yes, our online course is designed to give you flexibility to skill up as per your convenience. The course is delivered in a Self-Paced mode so that you can balance your work and learning as per your schedule.

    Yes! Upon passing this online course, you will receive a signed certificate of completion from KnowledgeHut. Thousands of KnowledgeHut alumni use their course certificate to demonstrate skills to employers and their networks.

    KnowledgeHut’s online courses is well-regarded by industry experts, who contribute to our curriculum and use our tech programs to train their own teams.


    You can cancel your enrolment and receive refunds in line with our Cancellations and Refunds policy found at https://www.knowledgehut.com/refund-policy. 

    Please make sure that your computer meets the following software and system requirements: 

    • Software Requirements: Internet browser
    • System Requirements: Windows or equivalent environment with Internet browser and high-speed Internet connectivity.

    Yes, it does! In the unlikely event that you are not satisfied with the course, and you wish to withdraw within the first seven days, we’ll issue a 100% refund. Refer to our Online Self-Paced Courses Refund Policy for more details.

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