Data Science and Data Visualization with Python

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Tech Career World

3:59:54

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1. Introduction

1. Introduction.mp4

05:31

2. Plot Types.mp4

07:36

3. Plot Types - 2.mp4

03:53

4. Sine and Cosine Plots.mp4

03:38

5. Sine and Cosine Plots - 2.mp4

07:11

6. Sine and Cosine Plots - 3.mp4

08:56

7. Styles, Properties and Format Strings.mp4

11:27

8. Ticks, Labels and Grids.mp4

13:17

9. Adding Legends and Annotations.mp4

08:19

10. Spines.mp4

05:01

11. Histograms.mp4

08:10

12. Bar Charts with Error Bars.mp4

08:05

13. Pie Charts.mp4

05:39

14. Filled Areas.mp4

05:10

15. Stacked Plots.mp4

11:49

16. Scatter Plots with Colored Markers.mp4

05:53

2. More of it... The Plots Stuff

1. Introduction.mp4

03:03

2. Transparency and Size of Axis Labels.mp4

12:03

3. Shadow to Chart Line.mp4

11:23

4. Adding a Data Table.mp4

08:45

5. Subplots.mp4

04:30

6. Subplots - 2.mp4

09:00

7. Customizing Grid.mp4

13:41

8. Customizing Grid - 2.mp4

01:33

9. Creating Contour Plots.mp4

10:13

10. Under-Plot Area.mp4

04:19

11. Under-Plot Area - 2.mp4

07:17

12. Polar Plots.mp4

08:37

13. Matplotlib with Style.mp4

07:19

3. 3D Visualizations

1. 3D Visualizations.mp4

05:07

2. 3D Visualizations - 2.mp4

06:42

3. 3D Visualizations - 3.mp4

06:47

Description

Learn Data Science Data Analytics and Data Visualization with Python and the libraries

What You'll Learn?

Bar, Line, Stacked Charts
Mathematical Plots
Histograms, Pie Charts
Grids, Subplots
3D Histograms, 3D Bars
PIL, Images, Basemap
CAPTCHA Images
Logarithmic Plots, Spectrograms
Gantt Charts, Error Bars
Trefoil Knot

Who is this for?

People who want to explore Data Science

People who want to explore Data Visualization

What You Need to Know?

Fundamental Python Programming Language (Optional)

More details

Description
Course Overview:
The course begins with a solid foundation in Python programming, ensuring that participants, regardless of their prior experience, can comfortably navigate the language. From there, we delve into the core concepts of data science, covering topics such as data manipulation, cleaning, and exploratory data analysis. Participants will gain hands-on experience using popular Python libraries like NumPy, Pandas, and Matplotlib.
Key Learning Objectives:

Python Fundamentals: Develop a strong command of Python programming, enabling participants to efficiently manipulate data and perform complex analyses.
Data Manipulation and Analysis: Learn to clean and preprocess data effectively using Pandas, and perform advanced data manipulation tasks to extract meaningful insights.
Exploratory Data Analysis (EDA): Master the art of exploring and summarizing data using statistical and visual methods, laying the groundwork for informed decision-making.
Data Visualization: Dive into the world of data visualization with Matplotlib and Seaborn. Create stunning and informative visualizations that effectively communicate complex insights to diverse audiences.
Machine Learning Foundations: Gain an understanding of the fundamentals of machine learning and explore how Python can be used to implement and deploy basic machine learning models.
Real-world Applications: Apply acquired skills to real-world scenarios and datasets, ensuring that participants can tackle data-driven challenges in their professional environments.
Why Python for Data Science and Visualization?
Python has emerged as the language of choice for data scientists due to its versatility, ease of learning, and a rich ecosystem of libraries. Our course emphasizes Python's role in the entire data science workflow, from data cleaning to visualization, and provides participants with a holistic understanding of its capabilities.
Who Should Enroll:
This course is ideal for aspiring data scientists, analysts, researchers, and anyone eager to harness the power of Python for effective data analysis and visualization. Whether you are a beginner or have some experience in data science, this course will elevate your skills and empower you to make data-driven decisions confidently.
Conclusion:
Equip yourself with the essential skills in data science and data visualization that are in high demand across industries. Enroll in "Mastering Data Science and Data Visualization with Python" and embark on a journey towards becoming a proficient data practitioner, ready to tackle the challenges of the modern data landscape. Elevate your career prospects and unlock new opportunities with the knowledge and expertise gained in this comprehensive and practical course.
Who this course is for:
People who want to explore Data Science
People who want to explore Data Visualization

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I am excited about the chance to add my abilities to your team as an experienced instructor with a love for computer science and programming.Throughout my work, I've displayed a strong ability to communicate complicated ideas in a clear and engaging way. I have a thorough grasp of computer languages such as Python, JavaScript, and Java, and I am confident in my ability to successfully communicate this knowledge to pupils of all ages.In addition to instructing, I've worked on a number of computing projects, both individually and as part of a team. These tasks provided me with valuable hands-on exposure and assisted me in developing a thorough grasp of programming ideas and best practises.

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