Programming in Python for Data Analytics
Duration: 48 Hrs
Online Course | Certificate of Completion
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Small Batch Size
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Python is a general-purpose programming language, meaning it can be used for many different things. Python is used for web development, AI, machine learning, operating systems, mobile application development, and video games.
Our Programming With Python course includes in-depth modules that will guide you step-by-step to learn everything about Python Programming.
With this beginner-friendly programming course, you will go from a complete beginner to learn all the advanced concepts with a solid understanding of Python programming language.
We focus on improving your core concepts of programming. You will come across multiple exercises after every module to make sure you are implementing your learnings.
Our course will guide you on learning the basics like variables and datatypes to install python and writing your first code and then using the concepts of functions and loops.
Upon completion of this course, You will have a clear and solid understanding of Python Programming language.
The first module will let you know about Python and how it is being used in various fields and technologies.
The second module will teach you about Variables and Operators in Python. You will get to know about the different types of operators and variables you will use in your python programming.
The third module will focus on learning Strings, Lists, and Dictionary in Python. The concept behind storing data in the string and list format.
In this module, You will get introduced to control statements and loops like IF and FOR statements in Python Programming.
This module will cover everything related to Functions in Python. You will learn How to define and call functions in Python.
You will learn about the concepts of Module and Package in Python Programming.
This module will teach you how to access and store files and exception handling in Python programming.
This module will teach you about Collections in Python, Which are containers used to store data collections.
You will learn about the concept of Classes & Objects, how to create classes, and define objects in Python.
With this module, You will learn how to prepare the data using various Python libraries like panda and NumPy.
You will learn techniques and ways to explore your datasets in Python.
This module will teach you all the classification techniques used in Python, like the Decision tree and Gaussian Process Classifier.
In this module, You will learn about various clustering techniques and how to use them in python. Ex. affinity propagation and agglomerative clustering
You will learn about the concepts of regular dimensions and how to change and find dimensions of arrays.
This module will teach you all the regression methods which are used in regression analysis with Python.
You will learn how to use python in time-series analysis using time forecasting techniques like simple moving average (SMA) and exponential smoothing (SES).
The last module will cover everything related to visualization in Python. You will learn how to use various visualization libraries like seaborn and matplotlib.
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