Practical Data Science with Python Training


Data Science


Per Participant

Course Description

You can learn practical data science with python to gradually comprehend data science and its methods.

With the help of several examples, this course is created to aid in your understanding of data science in the most straightforward manner possible.

This course uses several graphs and visuals to explain all fundamental Data Science principles and their applications rather than complex mathematical calculations.

This course adopts a distinct methodology centered on providing straightforward illustrations of each Data Science technique's operation and builds incrementally on those illustrations to cover Data Science.

Prerequisites for this training


  • Little programming experience required.
  • Recommended

  • Python Programming - Introduction

Who should attend this course?

  • Beginners interested in Data Science but hesitant to begin due to their fear of complex math
  • Beginners in the data science and computer science fields
  • Experts in the social sciences and data
  • Professors, lecturers, or tutors that want to simplify and improve how they teach their students new material
  • Especially those who focus on Data Science are students and academics.


Apr 19, 2023

9:00 am - 5:30 pm EST

May 17, 2023

9:00 am - 5:30 pm EST

Jun 21, 2023

9:00 am - 5:30 pm EST

Jul 12, 2023

9:00 am - 5:30 pm EST

Aug 16, 2023

9:00 am - 5:30 pm EST

Sep 20, 2023

9:00 am - 5:30 pm EST
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What you will learn

  • Study the fundamentals of linear algebra, statistics, and probability and comprehend their applications in data science.
  • Data collection, exploration, cleaning, munging, and manipulation
  • Explore the foundations of machine learning.
  • Use models like k-nearest Logistic regression and neighbors.


  • The Ascendance of Data
  • What Is Data Science?
  • Motivating Hypothetical: DataSciencester
  • The Basics
  • The Not-So-Basics
  • matplotlib
  • Bar Charts
  • Line Charts
  • Scatterplots
  • Describing a Single Set of Data
  • Correlation
  • Simpson's Paradox
  • Some Other Correlational Caveats
  • Correlation and Causation
  • Dependence and Independence
  • Conditional Probability
  • Bayes's Theorem
  • Random Variables
  • Continuous Distributions
  • The Normal Distribution
  • The Central Limit Theorem
  • For Further Exploration
  • Modeling
  • What Is Machine Learning?
  • Overfitting and Underfitting
  • Correctness
  • The Bias-Variance Trade-off
  • Feature Extraction and Selection
  • The Model
  • Example: Favorite Languages
  • The Curse of Dimensionality
  • The Model
  • Using Gradient Descent
  • Maximum Likelihood Estimation
  • The Model
  • Further Assumptions of the Least Squares Model
  • Fitting the Model
  • Interpreting the Model
  • Goodness of Fit
  • Digression: The Bootstrap
  • Standard Errors of Regression Coefficients
  • Regularization
  • The Problem
  • The Logistic Function
  • Applying the Model
  • Goodness of Fit
  • Support Vector Machines
  • With Microtek Learning, you’ll receive:

    • Certified Instructor-led training
    • Industry Best Trainers
    • Official Training Course Student Handbook
    • Pre and Post assessments/evaluations
    • Collaboration with classmates (not available for a self-paced course)
    • Real-world knowledge activities and scenarios
    • Exam scheduling support*
    • Learn and earn program*
    • Practice Tests
    • Knowledge acquisition and exam-oriented
    • Interactive online course.
    • Support from an approved expert
    • For Government and Private pricing*

    * For more details call: +1-800-961-0337 or Email:

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    I was sceptical at first whether to enrol with Microtek Learning or not, however, I am glad that I did- I got everything that was promised (maybe more). The trainer was very patient and knowledgeable and with his effort and mine, I was able to clear the exam with ease! Keep up the good work everyone.



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    I was recommended the ITIL 4 Foundation course by an IT professional who had completed the same course at Microtek Learning. The training gave me a thorough understanding of service management that I felt I could take back to my job as an IT Project Management and apply it to improve the value of products and services.

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    Course Details

    • Start Date: Apr 19, 2023
    • Duration: 3 Days
    • Enrolled: 1493
    • Price: $1595
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