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Python for Data Science for Beginner Hands-on practical Course

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Python for Data Science from Zero to Advance Hands-on Course

 

 

What you’ll learn

  • How to install Anaconda
  • Overview of Jupyter Notebook
  • Module 1 : Variable, Data Types, And Operators
  • Module 2 : Data Structures: List, Tuple, Set, Dictionary
  • Module 3 : Control Flow: If Else Statement, While Loop, For Loop
  • Module 4 : Functions: How to Create Function, Call function, Parameter or Arguments, Built_in Functions, Lambda, Recursion
  • Module 5 : File Handling: Creating, Reading, Updating, and Deleting files
  • Module 6 : NumPy: Install & Import NumPy, Create O D Array, 1D Array, 2D Array, 3D Array, Slicing, Shape, Reshape, Joining, Splitting, Searching, Sorting
  • Module 7 : Pandas: Install &Import Pandas, Read Files, Analyzing Data Frame, Cleaning Data
  • Modules 8 : Matplotlib: Install & Import Matplotlib & Pyplot, Plotting x and y, Markers, Creating Lines, Style, Scatter Plots, Bar Charts, Histogram, Pie Chart.
     

 

 

Requirements

  • You Can Join Complete as a Beginner

Description

Why is Python Essential for Data Science and Data Analysis?

There are numerous reasons why Python is extremely essential for data analysis, a few of them are:

flexibility

Easy-to-learn

Open Source

Well-supported

Learn Python for Data Science

Those who wish to start learning Python for data science or upskill themselves can enroll in a Python certification course. Data Science YF offers the Course.

Data science and analytics have applications across different industries today. Some of these include healthcare, financial and insurance services, e-commerce, retail, entertainment, education, and more. This is the reason why there are big opportunities in data science and data analytics, which are expected to grow further in the near future.

You will learn about Python for Data Science from zero to advance all Hands-on practical work in Jupiter NoteBook…

Course Overview

How to install Anaconda

Overview of Jupyter NoteBook

Module 1 : Variable, Data Types, And Operators

Module 2 : Data Structures

Data Structures: List, Tuple, Set, Dictionary

Module 3 : Control Flow

Control Flow: If Else Statement, While Loop, For Loop

Module 4 : Functions

Functions: How to Create Function, Call function, Parameter or Arguments, Built_in Functions, Lambda, Recursion

Module 5 : File Handling

File Handling: Creating, Reading, Updating, and Deleting files

Module 6: NumPy

NumPy: Install & Import NumPy, OD Array, 1D Array, 2D Array, 3D Array, Slicing, Shape, Reshape, Joining, Splitting, Searching, Sorting

Module 7 : Pandas

Pandas: Install &Import Pandas, Read Files, Analyzing Data Frame, Cleaning Data

Modules 8 : Matplotlib

Matplotlib: Install & Import Matplotlib & Pyplot, Plotting x and y, Markers, Creating Lines, Style, Scatter Plots, Bar Charts, Histogram, Pie Chart.

Who this course is for:

  • For Data Science and Data Analysis Beginners

Python for Data Science for Beginner Hands-on practical Course

Python Data Science Beginner practical Course



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