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.
