Python for Data Analysis with Practical Projects

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Manuel Ernesto Cambota

6:47:52

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1. Introduction

1. Overview.mp4

08:32

2. Installation of Anaconda Navigator.mp4

02:18

2. Project 1 - Data Analisys for Uber

1.1 004 Datasets Resources.html

1. Collect Data for Analysis.mp4

08:48

2. Data preparation.mp4

07:33

3. Analysing Trips of Uber.mp4

08:37

4. Analysing Monthly rides.mp4

09:50

5. Analysing demand of Ubers.mp4

08:20

6. Performing Cross Analysis.mp4

11:50

7. Perform Spatial Analysis on Demand of Uber.mp4

15:20

8. Analysing Uber Pickups in Each month.mp4

09:27

9. Analysing Rush in New York City.mp4

07:53

10. Perform In-Depth Analysis of Uber Base Number.mp4

10:21

3. Project 2 - Hotel Booking

1.1 015 Datasets Resources.html

1. Preparing Data for Analysis.mp4

08:48

2. Perform Spatial Analysis on Guests Home-Town.mp4

13:29

3. Hotel price variation during the year.mp4

14:46

4. Analysing preference of Guests.mp4

06:48

5. Analysing Brelationship between Special requests and cancellation.mp4

06:51

6. Analysing most busy month.mp4

09:44

7. Analysing more about Customers.mp4

11:55

8. Analysing more about Data.mp4

07:16

4. Project 3 - Data Analysis for Amazon Customers

1.1 039 Datasets Resources.html

1. Reading Data from SQLite Database.mp4

10:22

2. Perform Sentment Analysis on Data.mp4

17:06

3. How Amazon recommend product.mp4

13:31

4. Analysing Feedback given by Customers.mp4

08:08

5. Preparing Data for Analysis.mp4

15:43

6. Analysing Behaviour of Customers.mp4

12:32

5. Project 4 - Data Analysis for Covid-19

1.1 024 Datasets Resources.html

1. Prepare your Data for the Analysis.mp4

07:35

2. Analysing Total cases, Deaths, Recovered & active cases.mp4

10:51

3. Perform EDA on Data.mp4

09:14

4. Analysing those countries that gets badly affected by Corona.mp4

11:54

5. Perform In-depth Analysis on Data.mp4

14:42

6. Automate Your Analysis.mp4

12:50

6. Project 5 - Finance Data Analysis

1.1 031 Datasets Resources.html

1. Perform descriptive Analysis on Data.mp4

09:47

2. Understanding Data Pre-processing.mp4

12:12

3. Analysing Education Satus of Costumers.mp4

09:39

4. Analysing Account holder distribution.mp4

07:26

5. Automate your Analysis.mp4

14:34

6. Analyse Customer Behaviour on the basis of several attributes.mp4

05:03

7. Perform Hypothesis on Data.mp4

16:17

Description

Learn Data Analysis with Projects in Python using Seaborn,Pandas,Plotly, Numpy and become expert Data Analyst

What You'll 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 is this 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.

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.

What You Need to Know?

No Pre-requisites

More details

Description
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.
Who this course is 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.
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.

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------------------PORTUGUESE-------------------------Formado em Engenharia de Computação pela Universidade Técnica de Angola, actua nas áreas de Análise e desenvolvimento de sistemas com cerca de 10 anos de experiência.Trabalha com SAP, Bancos de Dados, Java, JSF, Hibernate, Primefaces, Bootstrap, PHP e .NET. É apaixonado pelas novas tecnologias de informação, pelo Ensino a distância, pelo Sporting de Portugal, pelo Barcelona FC e pela Selecção brasileira de Futebol(mesmo não sendo brasileiro). ------------------ENGLISH-------------------------I'm graduated in Computer Engineering at Technical University of Angola. I work in the areas of Analysis and systems development, haveing about 10 years of experience. I use SAP, Databases, Java, JSF, Hibernate, Primefaces, Bootstrap, PHP and .NET. I am passionate about Information Technologies, e-learning, Sporting Portugal FC, Barcelona FC and the Brazilian national football team (even though I'm not Brazilian).

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