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Python Proficiency in Data Analytics

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Python Proficiency in Data Analytics, available at $54.99, with 50 lectures, and has 3 subscribers.

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You will learn about Python Basics: Students will start with the basics of Python programming, including data types, variables, loops, functions, and conditional statements. Data Manipulation: This includes learning how to work with data structures such as lists, tuples, dictionaries, and sets. Data Visualization: Students will learn how to create visualizations using libraries such as Matplotlib. Data Cleaning: Cleaning and preprocessing data is a crucial step in data analysis. Statistical Analysis: Students may learn basic statistical concepts such as mean, median, mode, standard deviation and so on using Python Data Import and Export: Students will learn how to read data from different sources such as CSV files, Excel files, databases, and APIs. This course is ideal for individuals who are This course is ideal for those with no prior programming experience or limited experience who want to enter the field of data analysis. or Even if you're not aiming for a specific data-related career, this course can be valuable. By learning Python for data analysis, you'll gain the ability to work with data, extract insights, and make data-driven decisions in various aspects of your work or personal life It is particularly useful for This course is ideal for those with no prior programming experience or limited experience who want to enter the field of data analysis. or Even if you're not aiming for a specific data-related career, this course can be valuable. By learning Python for data analysis, you'll gain the ability to work with data, extract insights, and make data-driven decisions in various aspects of your work or personal life.

Enroll now: Python Proficiency in Data Analytics

Summary

Title: Python Proficiency in Data Analytics

Price: $54.99

Number of Lectures: 50

Number of Published Lectures: 50

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 50

Original Price: ₹1,299

Quality Status: approved

Status: Live

What You Will Learn

  • Python Basics: Students will start with the basics of Python programming, including data types, variables, loops, functions, and conditional statements.
  • Data Manipulation: This includes learning how to work with data structures such as lists, tuples, dictionaries, and sets.
  • Data Visualization: Students will learn how to create visualizations using libraries such as Matplotlib.
  • Data Cleaning: Cleaning and preprocessing data is a crucial step in data analysis.
  • Statistical Analysis: Students may learn basic statistical concepts such as mean, median, mode, standard deviation and so on using Python
  • Data Import and Export: Students will learn how to read data from different sources such as CSV files, Excel files, databases, and APIs.

Who Should Attend

  • This course is ideal for those with no prior programming experience or limited experience who want to enter the field of data analysis.
  • Even if you're not aiming for a specific data-related career, this course can be valuable. By learning Python for data analysis, you'll gain the ability to work with data, extract insights, and make data-driven decisions in various aspects of your work or personal life

Target Audiences

  • This course is ideal for those with no prior programming experience or limited experience who want to enter the field of data analysis.
  • Even if you're not aiming for a specific data-related career, this course can be valuable. By learning Python for data analysis, you'll gain the ability to work with data, extract insights, and make data-driven decisions in various aspects of your work or personal life

Unlock the Power of Python in Data Analytics!

Are you ready to take your data analytics skills to the next level? This comprehensive Udemy course, “Python Proficiency in Data Analytics,” is your gateway to mastering Python for effective data manipulation, analysis, and visualization.

Course Overview:

This hands-on course is designed for data enthusiasts, analysts, and professionals looking to harness the full potential of Python in the world of data analytics. No prior Python experience is required; we’ll start from the basics and gradually delve into advanced topics.

What You’ll Learn:

– Python Fundamentals: Establish a solid foundation by learning Python basics and syntax.

– Data Wrangling: Master data cleaning, manipulation, and transformation techniques using Pandas.

– Data Analysis: Dive into statistical analysis, explore data trends, and draw meaningful insights.

– Data Visualization:Create compelling visualizations with Matplotlib and Seaborn to effectively communicate your findings.

– Real-world Applications: Apply your skills to real-world projects, gaining hands-on experience and building a strong portfolio.

Why This Course?

– Practical Approach: Learn by doing with hands-on exercises and real-world examples.

– Lifetime Access: Access to course materials, updates, and additional resources for a lifetime.

– Expert Guidance: Benefit from the expertise of an experienced instructor passionate about both Python and data analytics.

Who Should Enroll:

– Data Analysts aspiring to enhance their Python skills.

– Professionals looking to make a career transition into data analytics.

– Anyone interested in leveraging Python for effective data manipulation and analysis.

Completion Certificate:

Upon finishing the course, receive a certificate of completion to showcase your newfound Python proficiency in data analytics.

Don’t miss out on this opportunity to boost your data analytics career with Python! Enroll now and embark on a transformative learning journey.

Let’s code and analyze together!

Course Curriculum

Chapter 1: Python – overview

Lecture 1: Introduction to Python

Lecture 2: Characteristics of Python

Lecture 3: Features of Python

Chapter 2: Installation in Ubuntu

Lecture 1: How to install Python in Ubuntu

Lecture 2: What is virtual environment

Lecture 3: How to setup and activate virtual environment

Lecture 4: How to install Anaconda navigator in Ubuntu

Lecture 5: Overview of Anaconda Navigator

Chapter 3: Variables and Data types

Lecture 1: Variable – Part 1

Lecture 2: Variable – Part 2

Lecture 3: How to create a variable name

Lecture 4: Dynamic typing

Lecture 5: Basic Data Types – int, float, complex

Lecture 6: Basic Data Types – List

Lecture 7: Basic Data Types – Tuple

Lecture 8: Basic Data Types overview – string, set, dict, bool

Chapter 4: String Handling in Python

Lecture 1: Strings in Python

Lecture 2: Indexing and Slicing

Lecture 3: Substring

Lecture 4: Different ways to format a string – Part 1

Lecture 5: Different ways to format a string – Part 2

Chapter 5: Basic Operation and Exercise Program

Lecture 1: Basic Operation

Lecture 2: Getting input from user

Lecture 3: Body Mass Index Calculator program

Lecture 4: Tip Calculator – Exercise

Lecture 5: Tip Calculator – Solution

Chapter 6: Operators

Lecture 1: Types of Operators

Lecture 2: Arithematic Operator

Lecture 3: Comparison Operator

Lecture 4: Logical Operator

Lecture 5: Identity Operator

Lecture 6: Miscellaneous Operator

Chapter 7: Conditional Statement

Lecture 1: If condition

Lecture 2: If elif condition

Lecture 3: Nested If condition

Lecture 4: Points to remember

Lecture 5: Short Hand if and if else

Lecture 6: Multiple if conditions

Lecture 7: Greatest of 3 number program

Chapter 8: Looping Statement

Lecture 1: Looping statement – for

Lecture 2: range function

Lecture 3: Scenario 1 – for loop

Lecture 4: Nested loop

Lecture 5: Scenario 2 – While loop

Lecture 6: Break and Continue

Chapter 9: Random Module – inbuilt library

Lecture 1: Random module – intro

Lecture 2: Head or Tail program

Lecture 3: Split the bills using randint method

Lecture 4: split the bill program using choice method

Lecture 5: Rock Paper Scissor program

Instructors

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Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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