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Advanced Data Analysis with Python: The Complete Guide

Master Python-based solutions from Real-Life Analytics issues that can help you become proficient in Advanced Data Analytics

Bestseller 19,773+ Learners

Created By George Mount

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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

  • 9+ Hours of On-Demand Videos
  • 8 Auto-Graded Assessments
  • 29 Guided Hands-On Exercises
  • 4 Assignments
  • 55 Recall Quizzes
  • 8 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

    • 9+ Hours of On-Demand Videos
    • 8 Auto-Graded Assessments
    • 29 Guided Hands-On Exercises
    • 4 Assignments
    • 55 Recall Quizzes
    • 8 Ebooks

    Training for Teams of 5+?

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

    What You Will Learn

    • Perform exploratory data analysis using Python.
    • Understand the details of confirmatory data analysis.
    • Explore Pandas and master data manipulation and analysis.
    • Perform analysis on structured and unstructured data.
    • Build interactive visualizations and dashboards using Plotly.
    • Learn about efficient parallelization using the Dask library.
    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 Objectives:

    Get introduced to Exploratory Data Analysis (EDA) in Python and learn to merge, reshape datasets.

    Topics Play Video
    • What is EDA?  
    • Profiling a Dataset  
    • Summarizing Categorical Variables  
    • Summarizing Quantitative Variables  
    • Merging Datasets  
    • Reshaping Datasets  
    • Correlation  
    2.

    Learning Objectives:

    Get introduced to Confirmatory Data Analysis (CDA) in Python and understand the basics of Linear Regression.

    Topics
    • Introduction to CDA 
    • From Exploration to Confirmation  
    • Case Study: A/B Testing  
    • Checking for Normality  
    • Basics of Linear Regression  
    • Regression with Stats Models  
    • Independent Samples with T-Test  
    • Multiple Regression  
    Video preview 3.

    Learning Objectives:

    Gain an overview of Intermediate Pandas, Window functions, and how to handle Dates and Times.

    Topics Play Video
    • Introduction to Intermediate Pandas  
    • Multi-Index  
    • Dates and Times  
    • Resampling  
    • Window Functions  
    • Missing Values  
    • Recoding Values  
    • Regular Expressions 
    Video preview 4.

    Learning Objectives:

    Learn how to handle unstructured data and gain an overview of Natural Language Tooklit and is use cases.

    Topics Play Video
    • Overview of Unstructured Data  
    • Pre-Processing Images  
    • Image Segmentation  
    • Image Representation  
    • The Basics of NLTK  
    • Accessing Corpora  
    • Processing Corpora  
    • Analyzing and Tagging Corpora 
    5.

    Learning Objectives:

    Understand what APIs are and get introduced to REST concepts.

    Topics
    • What is an API?  
    • REST API Basics 
    • REST APIs in Python  
    • Streaming APIs in Basics  
    • Streaming APIs in Python  
    • Processing Streaming Data  
    • API Token Best Practices  
    6.

    Learning Objectives:

    Dive deep into parallel computing using Dask. Learn to process data in Dask and visualize Dask Dataframes.

    Topics
    • Dask and Parallel Computing  
    • Dask Dataframes  
    • Processing Data in Dask  
    • Operating on Dask Dataframes  
    • Visualizing Dask Dataframes  
    • Visualizing Performance with Dask Dashboard 
    7.

    Learning Objectives:

    Gain an understanding of Data Visualization using Seaborn. Learn to use Jointpilot and Jointgrid, Custom Themes and Color Pallettes, and Custom Fonts and Annotations.


    Topics
    • Visualizing Distribution  
    • Custom Themes and Color Pallettes  
    • Custom Fonts and Annotations  
    • Jointpilot and Jointgrid  
    • Visualizing Regression  
    • Facetgrid  
    8.

    Learning Objectives:

    Dive Deeper into Data Visualization with Plotly and Bokeh. Learn to customize Bokeh Plots and Layouts and get introduced to Graph Objects.

    Topics
    • Static vs Dynamic Visualizations  
    • The Basics of Plotly  
    • Plotly Express in Depth  
    • Graph Objects  
    • Introducing Bokeh  
    • Customizing Bokeh Plots  
    • Customizing Bokeh Layouts  

    Prerequisites

    • Basic programming knowledge is required for this course.  
    • A thorough understanding of Python is mandatory to get through the course smoothly. 

    What Learners Are Saying

    I never expected an on-demand course to be this good. The recall activities helped me a lot.

    R
    Roman Fencing

    BI Engineers

    A must-recommend course with a super focus on essential Python programming and Data Visualization concepts

    B
    Ben Stones

    Python Expert

    Enjoyed learning at my own pace. The in-depth expert videos cover all Data Analysis topics and are beginner-friendly.

    V
    Viktor Politano

    Data Analyst

    The curriculum covered all the important Data Analysis topics. The assignments and projects helped me understand the concepts well.

    H
    Henessy Larvel Jr.

    BI Expert

    Expert-led videos covered all the Advanced Data Analysis topics and really helped me as I could study after office hours.

    D
    D.K. Anand

    Python Engineer

    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

    Our Course Advisor

    George Mount
    George Mount

    Data Analytics Expert

    George Mount is an Analytics Expert, Author of 'Advancing into Analytics' and Founder, Stringfest Analytics. He brings on board 15+ years of industry experience. He believes workforces are full of potential, waiting to be unleashed.

    Our Course Advisor

    George Mount is an Analytics Expert, Author of 'Advancing into Analytics' and Founder, Stringfest Analytics. He brings on board 15+ years of industry experience. He believes workforces are full of potential, waiting to be unleashed.

    George Mount
    George Mount

    Data Analytics Expert

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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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