Watch Course Preview
Course Preview

Data Science with Python Certification Course

  4.7/5 Ratings     4.5/5Ratings

30 Sessions

  Live Classes

Data Science Course Overview

Data Science with Python training will train you on data science and explore how Python can be a powerful tool for extracting valuable insights from data. Throughout this course, you will acquire essential knowledge and practical skills required to become a proficient data scientist using Python. We will cover a wide range of topics, including data manipulation, data visualization, statistical analysis, machine learning, and more.

Course objectives

The course's goals are to increase the learner's skills in the following areas:

  1. Develop a strong foundation in data science principles and concepts.
  2. Master the Python programming language and its applications in data science.
  3. Acquire, clean, and preprocess data for analysis and modelling.
  4. Perform exploratory data analysis to uncover patterns and insights.
  5. Apply statistical analysis techniques to draw meaningful conclusions.
  6. Build and evaluate predictive models using machine learning algorithms.
  7. Understand model evaluation and validation techniques.
  8. Explore advanced topics in data science using Python.
  9. Gain practical skills through hands-on projects with real-world datasets.
  10. Prepare for a career in data science and demonstrate proficiency through certification.

Why Learn Data Science?

Data Science & ML is the most popular & widely used technologies. Looks at these stats.

Data Science Career Scope

Data Scientist and Data Analyst are employed by the world's leading companies. Discover the salary and skills of Data Scientist and Data Analyst.

Data Science Course Key Features

  • 10 Weeks of Intensive Live Training
  • Learn from Microsoft MVPs & Industry Experts
  • Build real-world Projects
  • Career Coaching
  • Resume & Portfolio Building
  • Job Assistance

Data Science Course Eligibility


It is advantageous to have a firm grasp of some prerequisites to successfully undertake Python for Data Science course such as:

  1. Basic programming knowledge with familiarity with the OOPs concepts
  2. Prior experience with Python programming
  3. A good understanding of Mathematics and Statistics
  4. Familiarity with data manipulation techniques

Included in this Data Science with Python Certification Course

  •   Live Sessions30 Classes
  • Python Basic
  • Variables and Data Types
  • Conditional Loop
  • For Loop
  • While Loop
  • List Tuple Set
  • Dictnoary
  • Functions
  • Numpy
  • Pandas
  • Basic
  • Types of Statistics
  • Types of Data
  • Levels of Measurment
  • Central Tendency
  • Dispersion
  • Random Variables
  • Covariance
  • Correlation
Machine Learning

Machine Learning Basics

  1. Introduction
  2. Prerequisites
  3. Feature Engineering
  4. Data Prepration

Superviced Learning

  1. Naive Bayes
  2. Performance
  3. K Nearest Neighbors
  4. Boosting
  5. Naive Bayes Optimizations
  6. PCA
  7. Decision Trees
  8. Random Forest
  9. Linear Regression
  10. Multiple Regression
  11. Polynomial Regression
  12. Logistic Regression
  13. Support Vector Machine

Unsupervised Learning

  1. Clustering
  2. K-means
  3. Hierarchical Clustering
  4. Apriori
  5. Eclat
  6. Singular Value Decomposition

Reinforcement Learning

  1. Upper Confidence Bound
  2. Thompson Sampling

Recommender Systems

  1. Collaborative and Content Based Filtering

Large-Scale Machine Learning

  1. Introduction
  2. Data Ingestion
  3. Data Storage
  4. Data Processing
  5. Processing Orchestration
  6. Exploration-Workspaces
  7. Experimentation
  8. Frequentist AB Testing
  9. Bayesian AB Testing
  10. Multi-Armed Bandit
  11. Impact Estimation
  12. Large-Scale Basic Models
  13. Large Scale Deep Learning Models
  14. Large Scale Model Validation
  15. Productionization
  16. Data Hosting
  17. Model Hosting

Our Students Reviews

Frequently Asked Questions

Q1. Do you prepare me for the job interview?

Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.

Q2. Do you provide training on latest technology version?

Yes we do. As the technology upgrades we do update our content and provide your training on latest version of that technology.

Q3. Do you provide any course material or live session videos?

Yes we do. You will get access to the entire content including class videos, mockups, and assignments through LMS.

Q4. Can I share my course with someone else?

In short, no. Check our licensing that you agree to by using Dot Net Tricks LMS. We track this stuff, any abuse of copyright is taken seriously. Thanks for your understanding on this one.

Q5. What If I miss my online training class?

All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.

Q6. Who are your mentors?

All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs of development experience in various technologies and are trained by Dot Net Tricks to deliver interactive training to the participants.

Choose Training Options
50.00 % OFF
₹19,999 ₹9,999
12 months unlimited access to the course.

Get this course bundle, plus 30+ other courses bundle with our live training membership
Still have some questions? Let's discuss.
Accept cookies & close this