Course Overview
This Introduction to Data Science with Python course aims to help you master Python programming concepts that are essential for Data Science.
Key Features of the Course
- 8+ hours of training videos
- Very extensive coverage to all the topics
- Unlimited access for 2 years
Included in this course
- Video Course52 Videos Available
- Hands-on Labs69 Labs Available
- Course IntroTry now5m 35s
- Course IntroTry now5m 35s
Created by Certified Experts, these hands-on labs offer an excellent introduction to data science with Python. You'll learn to write efficient Python code for data analysis, visualization, and manipulation. The labs provide step-by-step guidance for tasks in a practical, real-time environment
- Exploring Data Frame Basics1h 30m
- Getting started with Matplotlib1h
- Understanding Space and Time Complexity2h
- Understanding Binary Search1h
- Finding Elements Common in Two Lists1h
- Getting started with IRIS dataset and 2D scatter plot1h
- Exploring 3D scatter plot30m
- Exploring Pair plots30m
- Getting started with Probability Density Function (PDF)1h
- Understanding Univariate Analysis using PDF1h
- Getting started with Cumulative Distribution Function (CDF)1h
- Exploring Mean, Variance, Standard Deviation and median1h
- Introduction to Vectors (2D, 3D, nD) Row Vector & Column Vector30m
- Understanding Dot Product and Angle between 2 vectors45m
- Exploring Projection & Unit Vector1h
- Exploring Equations of Line, Plane and Hyperplane1h
- Understanding Concepts of Linear Algebra2h
- Getting started with probability and statistics1h
- Exploring Gaussian or Normal Distribution1h
- Understanding the Concepts of Standardization & Kernel Density Estimation (KDE)1h 30m
- Key Operations on Data Frames2h
- Exploring the Concept of Q-Q Plot1h
- Understanding Chebyshev’s inequality1h
- Exploring Discrete and Continuous Uniform Distributions2h
- Random Number Generator (Uniform Distirbution)30m
- Exploring Bernoulli and Binomial distributions1h
- Exploring Log-Normal and Power Law Distributions1h
- Understanding the Box-Cox Transformation1h 30m
- Introduction to Confidence Interval (C.I)45m
- Exploring the Foundations of Hypothesis Testing45m
- Understanding the Two-Sample Kolmogorov-Smirnov Test (K-S Test)45m
- Understanding Dimensionality Reduction Using PCA45m
- Understanding how to Represent a Dataset using Python1h
- Exploring the Concept of Data Preprocessing45m
- Calculating Mean, Variance & Co-Variance of a Data Matrix1h
- Understanding the concept of weight vector in machine learning1h
Why Choose Us?
Online Course
8+ hours of Training Videos for all the objectives. You will be amazed by the way of explaining the concepts that are very easy to understand.<
Unlimited Access
Our Courses come with the validity. Once purchased, you can access them for 2 years.
Experts Support
Our support team consists of Experts, ready to clarify all your questions.
Testimonials/Feedback
Introduction to Data Science with Python Reviews</a> from Our Customers.
Custom LMS
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Updated Cloud courses:
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