Python for Data Science Bootcamp Course:Beginner to Advanced

Master Everything you need to know about Python, Pandas and Numpy with Code Implementations, Examples and many more!

What you'll learn
Master Everything you need to know about Python, Pandas and Numpy with Code Implementations, Examples and many more!
Learn Advanced Python modules and complex features such as Python Decorators, Generators, Comprehensions, Regular Expressions, Map, Filter functions, collection
Build a solid beginner-level understanding of the Python programming language by learning and coding simultaneously with Instructor.
Build thorough Python Object-Oriented Programming (OOP) skills.
Learn how to give structure to the program with Functions.
Learn Constructor, destructor, private variables, Inheritance, Polymorphism, Abstraction with Example
Implement and call methods. Understand their purpose within classes.
Define instance attributes and class attributes.
Define logic using conditional statements, looping.
Hands-On Implementations and Exercises( Code with Instructor simultaneously).
Gain a deep and hands-on understanding of pandas data structures.
Learn Series at a Glance - Series Methods and Handling
Implement DataFrames in depth
Implement GroupBy, Slicing, Aggregates and Reshaping With Pivots
Join, Melt, cut, transform, clean, filter, groupby, pivot, merge and otherwise manipulate any dataset.
Practice reading data from the web, pickles, Excel files right within pandas.
Implement advance Pandas DataFrame manipulations: multiIndexing, stacking, hierarchical indexing, pivoting, melting and more.
Import, clean, and merge messy Data and prepare Data for Machine Learning
Merge and Concatenate many Datasets efficiently.
Scale and Automate data merging
Clean and format data easily.
Detect and intelligently fill missing values.
Group, aggregate and summarise your data.
Implement important methods, attributes, and techniques to manipulate data in pandas and python.
Learn to use NumPy for Numerical Data
Learn basic and advanced features in NumPy (Numerical Python)
Learn and practice all relevant Pandas methods and workflows with Real-World Datasets
Understand how to use both the Jupyter Notebook and create .py files.
Acquire the pre-requisite Python skills to move into different areas - Machine Learning, Data Science, Backend Development etc.
Have the skills and understanding of Python, Pandas and Numpy to confidently apply for Python programming jobs at Tech companies.

Description
Harvard University has named a data scientist as the ‘sexiest job title of the 21st century’. For the last 5 years, data science has been featured as a top career by Glassdoor. Data scientists are responsible for finding, filtering, and organizing data for companies. They explore through large piles of data generated every single day to find patterns that will benefit an organization, and at the same time, help to fulfill their strategic goals. This course covers everything you need to know in order to become a brilliant data scientist.

Topics Covered in this course (in depth):

Build a solid beginner-level understanding of the Python programming language by learning and coding simultaneously with Instructor.

Learn Advanced Python modules and complex features such as Python Decorators, Generators, Comprehensions, Regular Expressions, Map, Filter functions, collections etc.

Build thorough Python Object-Oriented Programming (OOP) skills.

Learn how to give structure to the program with Functions.

Learn Constructor, destructor, private variables, Inheritance, Polymorphism, Abstraction with Example.

Implement and call methods. Understand their purpose within classes.

Define instance attributes and class attributes.

Define logic using conditional statements, looping.

Hands-On Implementations and Exercises( Code with Instructor simultaneously).

Gain a deep and hands-on understanding of pandas data structures.

Learn Series at a Glance - Series Methods and Handling

Implement DataFrames in depth

Implement GroupBy, Slicing, Aggregates and Reshaping With Pivots

Join, Melt, cut, transform, clean, filter, groupby, pivot, merge and otherwise manipulate any dataset.

Practice reading data from the web, pickles, Excel files right within pandas.

Implement advance Pandas DataFrame manipulations: multiIndexing, stacking, hierarchical indexing, pivoting, melting and more.

Import, clean, and merge messy Data and prepare Data for Machine Learning

Merge and Concatenate many Datasets efficiently.

Scale and Automate data merging

Clean and format data easily.

Detect and intelligently fill missing values.

Group, aggregate and summarize your data.

Implement important methods, attributes, and techniques to manipulate data in pandas and python.

Learn to use NumPy for Numerical Data

You will learn basic and advanced features in NumPy (Numerical Python)

Learn and practice all relevant Pandas methods and workflows with Real-World Datasets

Understand how to use both the Jupyter Notebook and create .py files.

Have the skills and understanding of Python to confidently apply for Python programming jobs at Tech companies.

Acquire the pre-requisite Python skills to move into different areas - Machine Learning, Data Science, Backend Development etc.

Understand how to create your own Python programs.

Learn Python from experienced professional software developers.

This course teaches you Python Programming Language Fast And Easy Way With Examples From Scratch.

Many Quizzes to master the concepts and test your understanding.

Grasp ESSENTIAL concepts of Python programming.

Start your journey as a developer and data scientist/Machine Learning Engineer with Big Tech Companies.

With this just one course you can start your data science journey right away! Go for it.

Who this course is for:
Beginner Python programmers
Data Science Enthusiasts and professionals
Anyone who wants to get into data science and Machine learning
Everyone who wants to master large, messy and unclean Datasets
Data Scientists and Machine Learning
Anyone interested in mastering data analysis with python
Anyone looking to deeply understand and master python, pandas and Numpy
Data Scientists who want to improve their Data Handling/Data Manipulation skills.