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Data Science Statistics Python




Python and Data Science Online Training Institute


Technology Learners


Online and Classroom Sessions


Week Days and Week Ends

Duration :

1.5  hrs in weekdays and 3hrs during Weekend

Python and Data Science What will you learn?

•Understand the concepts in Python and Data Science
•Learn how to perform cross-validation in Python and Data Science.
•Learn WebdriverIO Testing with real user scenario examples
•A introductory understanding of how to program in Python and Data Science.
•Learn Python and Data Science from scratch & understand core programming concept
•You can learn Python and Data Science to code like a pro!
•Easy learning Mastering Python and Data Science 4 with hands-on theory and practice guides
•you will be confident in your skills as a Developer / designer
•Learn the fundamentals of the Python and Data Science using both a theoretical and practical approach

data science statistics python Course Features

•Additional Sessions for Doubt Clearing
• First step to landing an entry-level job
•Learn Core concepts from Leading Instructors
•The courses range from basic to advanced level
•We provide Classroom and Online training in Metro Cities
•We provide you with your recorded session for further Reference
•One-on-one training, online training, team or Corporate training can be provided
• Our dedicated HR department will help you search jobs as per your module & skill set, thus, drastically reducing the job search time

Who are eligible for Python and Data Science

•Cloud Computing, Information Security, Network Security, Windows System Administration, Windows Server
•Dotnet, Java, IOS, Android, SSE, TL, Manual Testing, Automation Testing, PHP Developer, Web Developer, Web Designer, Graphic Designer, Technical Manager, C#
•Java Developers, Dot Net Developers, Network Administration, As400, Msbi, C++, Web Services, Webmethods, Software Testing, Manual Testing, Selenium Testing
•Peoplesoft, Business Intelligence, Cloud, Msbi, Cognos, Sharepoint, Db2, Qlikview, Inside Sales
•UI/UX Architect, C#, Asp.Net, Javascript, CSS, Ajax, HTML, MS SQL, Azure, SugarCRM, Php, MVC, MYSQL, CodeIgniter, Android Developer, HTML5, CSS3, JQuery


Python Fundamentals
•Installation of Python and Anaconda
•Python Introduction
•Variables in Python
•Numeric Operations in Python
•Logical Operations
•If else Loop
•for while Loop
•String Part1
•String Part2
•List Part1
•List Part2
•List Part3
•List Part4
•Numpy Operations Part1
•Numpy Operations Part2
•Operations Part1
•Operations Part2
•loc and iloc
•Reading CSV
•Merging Part1
•Merging Part2
•Pivot Table
•Some Fun With Maths
•Linear Algebra : Vectors
•Linear Algebra : Matrix Part1
•Linear Algebra : Matrix Part2
•Linear Algebra : Going From 2D to nD Part1
•Linear Algebra : 2D to nD Part2
•Inferential Statistics
•Probability Theory
•Probability Distribution
•Expected Values Part1
•Expected Values Part2
•Without Experiment
•Binomial Distribution
•Commulative Distribution
•Normal Distribution
•z Score
•Sampling Distribution
•Central Limit Theorem
•Confidence Interval Part1
•Confidence Interval Part2
•Hypothesis Testing
•NULL And Alternate Hypothesis
•One/Two Tailed Tests
•Critical Value Method
•z Table
•More Examples
•p Value
•Types of Error
•t- distribution Part1
•t- distribution Part2
•Data Visualisation
•Case Study
•Seaborn On Time Series Data
•Exploratory Data Analysis
•Data Sourcing and Cleaning part1
•Data Sourcing and Cleaning part2
•Data Sourcing and Cleaning part3
•Data Sourcing and Cleaning part4
•Data Sourcing and Cleaning part5
•Data Sourcing and Cleaning part6
•Data Cleaning part1
•Data Cleaning part2
•Univariate Analysis Part1
•Univariate Analysis Part2
•Segmented Analysis
•Bivariate Analysis
•Derived Columns
•Simple Linear Regression
•Introduction to Machine Learning
•Types of Machine Learning
•Introduction to Linear Regression (LR)
•How LR Works?
•Some Fun With Maths Behind LR
•R Square
•LR Case Study Part1
•LR Case Study Part2
•LR Case Study Part3
•Residual Square Error (RSE)
•Data Science Project 1
•Project Part1
•Project Part2
•Project Part3
•Project Part4
•Project Part5
•Data Science Project 2