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Python for Data Science Bootcamp Course – Beginner to Advanced

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Requirements

  • Access to a computer with an internet connection.
  • No Prior Programming Experience Necessary
  • Just a desire to learn by doing ( Hands – On training)

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):

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  • 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.

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.

 

Python for Data Science Bootcamp Course – Beginner to Advanced, Free Tutorials Download

Download Python for Data Science Bootcamp Course – Beginner to Advanced Free Links

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Author: Ho Quang Dai

I am Ho Quang Dai, from Vietnam – A country that loves peace. I share completely free courses from major academic websites around the world. Hope to bring free knowledge to everyone who can’t afford to buy


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