NumPy, Pandas, & Python for Data Analysis: A Complete Guide

Focused View

Sara Academy

4:31:37

0 View

1 - Module 1 Introduction to Python for Data Analysis

1 -Basic Python programming concepts.mp4

07:19

2 -Understanding data analysis.mp4

07:04

2 - Module 2 Introduction to NumPy

1 -Creating NumPy arrays from Python lists.mp4

07:35

2 -Array indexing, slicing, and reshaping.mp4

06:57

3 -Basic operations with NumPy arrays.mp4

07:20

4 -Mathematical functions in NumPy.mp4

07:00

5 -Working with multidimensional arrays.mp4

08:12

6 -Random number generation.mp4

06:03

7 -Reading and writing files with NumPy.mp4

07:22

3 - Module 3 Introduction to Pandas

1 -Creating and understanding DataFrames.mp4

07:54

2 -Importing and exporting data (CSV, Excel, JSON).mp4

09:15

3 -DataFrame indexing and selection.mp4

06:39

4 -Adding, removing, and updating data.mp4

08:39

5 -Handling missing data.mp4

09:26

6 -Data filtering, sorting, and grouping.mp4

08:24

7 -Understanding time series data.mp4

06:36

8 -Working with dates and times in Pandas.mp4

07:11

9 -Time series analysis and manipulation.mp4

08:27

4 - Module 4 Data Cleaning and Preparation

1 -Identifying and handling missing data.mp4

06:20

2 -Removing duplicates.mp4

08:31

3 -Data transformation and normalization.mp4

11:24

4 -Merging, joining, and concatenating DataFrames.mp4

12:11

5 -Reshaping and pivoting data.mp4

10:41

6 -Applying functions to DataFrames.mp4

07:06

5 - Module 5 Data Visualization with Pandas

1 -Importance of data visualization.mp4

06:19

2 -Basic plotting with Pandas.mp4

10:05

3 -Customizing plots (titles, labels, colors).mp4

08:36

4 -Creating complex visualizations (histograms, scatter plots, box plots).mp4

10:45

6 - Module 7 Advanced Topics in Data Analysis

1 -Memory optimization techniques.mp4

07:14

2 -Efficient computation with large datasets.mp4

08:41

3 -Preparing data for machine learning.mp4

09:39

4 -Working with dates and times in Pandas.mp4

07:11

5 -Basic machine learning algorithms using Pandas and NumPy.mp4

09:31

Description

Learn Data Analysis Techniques with Python, NumPy, and Pandas: From Data Cleaning to Advanced Visualization

What You'll Learn?

Introduction to Jupyter Notebook
Basic Python programming concepts
Installing NumPy & Pandas
Creating NumPy arrays from Python lists
Mathematical functions in NumPy
Reading and writing files with NumPy
Creating and understanding DataFrames
DataFrame indexing and selection
Adding, removing, and updating data
Data filtering, sorting, and grouping
Time series analysis and manipulation
Identifying and handling missing data
Merging, joining, and concatenating DataFrames
Applying functions to DataFrames
Customizing plots (titles, labels, colors)
Creating complex visualizations (histograms, scatter plots, box plots)
Memory optimization techniques

Who is this for?

Anyone looking to enhance their data analysis skills using Python

Beginners interested in data analysis with Python

Data enthusiasts looking to gain in-demand skills

What You Need to Know?

No prior knowledge is required.

More details

Description
Unlock the full potential of data analysis with NumPy, Pandas, and Python in this comprehensive, hands-on course! Whether you're a beginner or looking to sharpen your skills, this course will guide you through everything you need to master data analysis using Python's most powerful libraries.

You will learn to:

Python for Data Analysis: Master the fundamentals of Python, the most popular language for data science, including core programming concepts and essential libraries.
NumPy Essentials: Dive deep into NumPy for fast numerical computations, array manipulation, and performance optimization.
Pandas Mastery: Learn how to efficiently work with large datasets using Pandas, the powerful data manipulation library. Handle, clean, transform, and analyze real-world data with ease.
Data Visualization: Understand how to represent your data visually to gain insights using Python libraries like Matplotlib and Seaborn.
Real-World Projects: Apply your knowledge to real-world datasets, tackling data challenges from start to finishâ€”exploring, cleaning, and drawing insights.

What you'll learn:

Fundamentals of Python programming for data analysis
Introduction to NumPy: Arrays, operations, and performance techniques
Deep dive into Pandas: DataFrames, Series, and advanced data manipulation
Data cleaning and preprocessing techniques
Exploratory data analysis (EDA) with Pandas
Real-world case studies and hands-on projects

Enroll today and take the first step toward mastering data analysis with Python, NumPy, and Pandas!
Who this course is for:
Anyone looking to enhance their data analysis skills using Python
Beginners interested in data analysis with Python
Data enthusiasts looking to gain in-demand skills

User Reviews

Rating

average 0

Total votes0

Focused display

Python

Sara Academy

Instructor's Courses

In the field of online education, Sara Academy is a shining example of innovation, altering how individuals acquire knowledge, encouraging personal development, and expanding professional options.Sara Academy is still dedicated to pushing the limits of online education as we move forward. To give our students the finest learning experience possible, we're always adding new courses, utilizing cutting-edge technology, and working with institutions and subject matter experts.Sara Academy has already had a profound effect on thousands of students all across the world. Thanks to the information and abilities they obtained via our courses, many alumni have gone on to experience amazing success in both their professional and personal lives.Sara Academy is a catalyst for change and progress, not just an online learning environment. We are committed to empowering people all across the world, removing obstacles to education, and promoting a better future for everyone. Come along with us at Sara Academy as we embark on this fascinating adventure of learning, discovery, and personal growth.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.