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Python for Data Analysis with Practical Projects

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Python for Data Analysis with Practical Projects, available at $54.99, with 39 lectures, and has 6 subscribers.

You will learn about Data Handling: Master data cleaning, manipulation, and transformation techniques. Visualization: Create insightful visualizations to communicate data-driven insights effectively Statistical Analysis: Perform basic statistical analysis and draw meaningful conclusions from data Project Portfolio: Build a portfolio of projects showcasing your skills to potential employers or for personal growth. This course is ideal for individuals who are Beginners in Data Analysis: If you're new to data analysis and want to learn how to use Python for handling and analyzing data, this course provides a solid foundation. or Students: Whether you're studying data science, statistics, or a related field, mastering Python for data analysis will complement your academic journey. or Professionals: If you're looking to upskill or transition into a data-focused role, this course equips you with practical skills that are in demand across industries. or Career Changers: If you're considering a career shift into data analysis or data science, this course offers a structured pathway to build essential skills and create a portfolio of projects. or Anyone Interested in Data: If you're curious about how data drives decisions and want to learn how to extract insights from data using Python, this course provides a beginner-friendly introduction. It is particularly useful for Beginners in Data Analysis: If you're new to data analysis and want to learn how to use Python for handling and analyzing data, this course provides a solid foundation. or Students: Whether you're studying data science, statistics, or a related field, mastering Python for data analysis will complement your academic journey. or Professionals: If you're looking to upskill or transition into a data-focused role, this course equips you with practical skills that are in demand across industries. or Career Changers: If you're considering a career shift into data analysis or data science, this course offers a structured pathway to build essential skills and create a portfolio of projects. or Anyone Interested in Data: If you're curious about how data drives decisions and want to learn how to extract insights from data using Python, this course provides a beginner-friendly introduction.

Enroll now: Python for Data Analysis with Practical Projects

Summary

Title: Python for Data Analysis with Practical Projects

Price: $54.99

Number of Lectures: 39

Number of Published Lectures: 39

Number of Curriculum Items: 39

Number of Published Curriculum Objects: 39

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Data Handling: Master data cleaning, manipulation, and transformation techniques.
  • Visualization: Create insightful visualizations to communicate data-driven insights effectively
  • Statistical Analysis: Perform basic statistical analysis and draw meaningful conclusions from data
  • Project Portfolio: Build a portfolio of projects showcasing your skills to potential employers or for personal growth.

Who Should Attend

  • Beginners in Data Analysis: If you're new to data analysis and want to learn how to use Python for handling and analyzing data, this course provides a solid foundation.
  • Students: Whether you're studying data science, statistics, or a related field, mastering Python for data analysis will complement your academic journey.
  • Professionals: If you're looking to upskill or transition into a data-focused role, this course equips you with practical skills that are in demand across industries.
  • Career Changers: If you're considering a career shift into data analysis or data science, this course offers a structured pathway to build essential skills and create a portfolio of projects.
  • Anyone Interested in Data: If you're curious about how data drives decisions and want to learn how to extract insights from data using Python, this course provides a beginner-friendly introduction.

Target Audiences

  • Beginners in Data Analysis: If you're new to data analysis and want to learn how to use Python for handling and analyzing data, this course provides a solid foundation.
  • Students: Whether you're studying data science, statistics, or a related field, mastering Python for data analysis will complement your academic journey.
  • Professionals: If you're looking to upskill or transition into a data-focused role, this course equips you with practical skills that are in demand across industries.
  • Career Changers: If you're considering a career shift into data analysis or data science, this course offers a structured pathway to build essential skills and create a portfolio of projects.
  • Anyone Interested in Data: If you're curious about how data drives decisions and want to learn how to extract insights from data using Python, this course provides a beginner-friendly introduction.

Unlock the power of Python for data analysis through practical projects tailored for beginners. Whether you’re looking to enter the world of data science or enhance your analytical skills, this course is designed to equip you with essential Python tools and techniques.

Course Overview:

  • Learn by Doing: Dive straight into hands-on projects that simulate real-world data scenarios. From data cleaning and manipulation to visualization and statistical analysis, every project builds your skills incrementally.

  • Comprehensive Guidance: Benefit from clear, step-by-step instructions and explanations. Our expert instructors ensure you understand the concepts behind each technique, empowering you to apply them confidently.

  • Practical Skills: Gain proficiency in popular Python libraries such as Pandas, NumPy, and Matplotlib. By the end of the course, you’ll be proficient in handling and analyzing data efficiently.

Why Choose this Course?

  • Beginner-Friendly: No prior coding experience required. We start with the basics and gradually introduce more advanced topics, making learning accessible for everyone.

  • Career-Ready: Equip yourself with skills sought after in today’s data-driven world. Whether you’re a student, professional, or career changer, this course enhances your employability.

  • Supportive Community: Join a vibrant community of learners. Get support from the instructor, share insights, and collaborate on projects to reinforce your learning.

Whether you’re driven by curiosity or career ambitions, Python for Data Analysis with Projects for Beginners is your gateway to mastering data analysis with Python. Enroll now and embark on a transformative learning experience that opens doors to new opportunities in data science and beyond.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Overview

Lecture 2: Installation of Anaconda Navigator

Chapter 2: Project 1 – Data Analisys for Uber

Lecture 1: Collect Data for Analysis

Lecture 2: Data preparation

Lecture 3: Analysing Trips of Uber

Lecture 4: Analysing Monthly rides

Lecture 5: Analysing demand of Ubers

Lecture 6: Performing Cross Analysis

Lecture 7: Perform Spatial Analysis on Demand of Uber

Lecture 8: Analysing Uber Pickups in Each month

Lecture 9: Analysing Rush in New York City

Lecture 10: Perform In-Depth Analysis of Uber Base Number

Chapter 3: Project 2 – Hotel Booking

Lecture 1: Preparing Data for Analysis

Lecture 2: Perform Spatial Analysis on Guests Home-Town

Lecture 3: Hotel price variation during the year

Lecture 4: Analysing preference of Guests

Lecture 5: Analysing Brelationship between Special requests and cancellation

Lecture 6: Analysing most busy month

Lecture 7: Analysing more about Customers

Lecture 8: Analysing more about Data

Chapter 4: Project 3 – Data Analysis for Amazon Customers

Lecture 1: Reading Data from SQLite Database

Lecture 2: Perform Sentment Analysis on Data

Lecture 3: How Amazon recommend product

Lecture 4: Analysing Feedback given by Customers

Lecture 5: Preparing Data for Analysis

Lecture 6: Analysing Behaviour of Customers

Chapter 5: Project 4 – Data Analysis for Covid-19

Lecture 1: Prepare your Data for the Analysis

Lecture 2: Analysing Total cases, Deaths, Recovered & active cases

Lecture 3: Perform EDA on Data

Lecture 4: Analysing those countries that gets badly affected by Corona

Lecture 5: Perform In-depth Analysis on Data

Lecture 6: Automate Your Analysis

Chapter 6: Project 5 – Finance Data Analysis

Lecture 1: Perform descriptive Analysis on Data

Lecture 2: Understanding Data Pre-processing

Lecture 3: Analysing Education Satus of Costumers

Lecture 4: Analysing Account holder distribution

Lecture 5: Automate your Analysis

Lecture 6: Analyse Customer Behaviour on the basis of several attributes

Lecture 7: Perform Hypothesis on Data

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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