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Python Mastering Python For Data Science From Zero To Hero




Python and Data Science IT Institute


Technology Learners


Online and Classroom Sessions


Week Days and Week Ends

Duration :

Fast Track and Regular 60 Days

Python and Data Science What will you learn?

•How to work with Python and Data Science Tool.
•Master the most important aspects of Python and Data Science.
•Learn how to use loop statement in Python and Data Science.
•Learn End to End Python and Data Science complete ground up
•You will know how to design Python and Data Science from scratch.
•Learn Python and Data Science at your own pace with quality learning videos.
•Learn how to implement the all the functionalities of a Python and Data Science.
•Learn the core fundamentals of Python and Data Science to fast-track your development process
•Gain the ability to adapt to any coding language with the concepts of Python and Data Science

python mastering python for data science from zero to hero Course Highlights

•Most comprehensive Industrry curriculum
•Certificate after completion of the course
• Helps you stand out in a competitive market
•Classes are Accessible on Website and Mobile Apps
•We provide Classroom and Online training in Metro Cities
•Access to a huge closet containing information about Hadoop
•Live project based on any of the selected use cases, involving implementation of the concepts
• 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

•.net Developer, Business Analysis, Software Testing, Software Development, Linux Administration, java, Automation Testing, hybris, qtp, lamp, css, xml, manual
•HPSM, HPAM, HP PPM, HPBSM, Python, SAP Apo, SAP APO DP, SAP APO SNP, Testing, HP DMA, SAP MM, Mainframe Developer, ETL Testing, JAVA Developer
•Java/J2EE, .Net C#, Networking, Oracle DBA, Embedded Developers, HTML5, Android Framework, Android Developers, MSTR Developer, Cognos, SAN, Windows Admin
•Python, React, Javascript, Html, Css, Web Technologies, Front End Developer, Backend Developer, Mysql, Mongodb
•Software Development, Senior Software Developer, Mean Stack, React.js, Mern Stack, Full Stack, Sql, Spark, Scala, Python, Ui Development


Introduction to the Course
•About the Tutor and AI Sciences
•Focus of the Course-Part 1
•Focus of the Course- Part 2
•Feedbacks and Review
•Link to the Python codes for the projects and the data
•Basics of Programming
•Understanding the Algorithm
•FlowCharts and Pseudocodes
•Example of Algorithms- Making Tea Problem
•Example of Algorithms-Searching Minimun
•Example of Algorithms-Sorting Problem
•Sorting Problem in Python
•Why Python and Jupyter Notebook
•Why Python
•Why Jupyter Notebooks
•Installation of Anaconda and IPython Shell
•Installing Python and Jupyter Anaconda
•Your First Python Code- Hello World
•Coding in IPython Shell
•Variable and Operator
•Bool Data Type in Python
•Comparison in Python
•Combining Comparisons in Python
•Python Useful function
•Python Function- Round
•Python Function- Divmod
•Python Function- Is instance and PowFunctions
•Python Function- Input
•Control Flow in Python
•If Python Condition
•if Elif Else Python Conditions
•More on if Elif Else Python Conditions
•Comments and Problem Solving Practice With If
•While Loop
•While Loop break Continue
•For Loop
•Else In For Loop
•Loops Practice-Sorting Problem
•Function and Module in Python
•Functions in Python
•Input Arguments
•Multiple Input Arguments
•Ordering Multiple Input Arguments
•Output Arguments and Return Statement
•Function Practice-Output Arguments and Return Statement
•Variable Number of Input Arguments
•Variable Number of Input Arguments as Dictionary
•Default Values in Python
•Modules in Python
•Making Modules in Python
•Function Practice-Sorting List in Python
•String in Python
•Multi Line Strings
•Indexing Strings
•String Methods
•String Escape Sequences
•Data Structure (List, Tuple, Set, Dictionary)
•Introduction to Data Structure
•Defining and Indexing
•Insertion and Deletion
•Python Practice-Insertion and Deletion
•Deep Copy or Reference Slicing
•Exploring Methods Using TAB Completion
•Data Structure Abstract Ways
•Data Structure Practice
•NumPy for Numerical Data Processing
•Introduction to NumPy
•NumPy Dimensions
•NumPy Shape, Size and Bytes
•Arange, Random and Reshape-Part 1
•Arange, Random and Reshape-Part 2
•Slicing-Part 1
•Slicing-Part 2
•NumPy Masking
•NumPy BroadCasting and Concatination
•NumPy ufuncs Speed Test
•Pandas for Data Manipulation
•Introduction to Pandas
•Pandas Series
•Pandas Data Frame
•Pandas Missing Values
•Pandas .loc and .iloc
•Pandas Practice-Using COVID19 Data -Part 1
•Pandas Practice-Using COVID19 Data -Part 2
•Matplotlib, Seaborn, and Bokeh for Data Visualization
•Introduction to Matplotlib
•Seaborn Vs. Matplotlib Style
•Histograms Kdeplot
•Seaborn Pairplot and Jointplot
•Seaborn Pairplot using Iris Data
•Introduction to Bokeh
•Bokeh Gridplot
•Scikit-Learn for Machine Learning
•Introduction to Scikit-Learn
•Scikit-Learn for Linear Regression
•Scikit-Learn for SVM and Random Forests
•ScikitLearn- Trend Analysis COVID19
•Focus of the Course-
•Focus of the Course-