Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
6 Hour(s) 42 Minute(s)
Language
English
Taught by
Taher Assaf
Rating
1 views
Course Overview
With Exercises : Learn to use NumPy, Pandas, Seaborn , Matplotlib for Data Manipulation and Exploration with Python
This course is ideal for you, if you wish is to start your path to becoming a Data Scientist!
Data Scientist is one of the hottest jobs recently the United States and in Europe and it is a rewarding career with a high average salary.
The massive amount of data has revolutionized companies and those who have used these big data has an edge in competition. These companies need data scientist who are proficient at handling, managing, analyzing, and understanding trends in data.
This course is designed for both beginners with some programming experience or experienced developers looking to extend their knowledge in Data Science!
I have organized this course to be used as a video library for you so that you can use it in the future as a reference. Every lecture in this comprehensive course covers a single skill in data manipulation using Python libraries for data science.
In this comprehensive course, I will guide you to learn how to use the power of Python to manipulate, explore, and analyze data, and to create beautiful visualizations.
My course is equivalent to Data Science bootcamps that usually cost thousands of dollars. Here, I give you the opportunity to learn all that information at a fraction of the cost! With over 90 HD video lectures, including all examples presented in this course which are provided in detailed code notebooks for every lecture. This course is one of the most comprehensive course for using Python for data science on Udemy!
I will teach you how to use Python to manipulate and to explore raw datasets, how to use python libraries for data science such as Pandas, NumPy, Matplotlib, and Seaborn, how to use the most common data structures for data science in python, how to create amazing data visualizations, and most importantly how to prepare your datasets for advanced data analysis and machine learning models.
Here a few of the topics that you will be learning in this comprehensive course:
How to Set Your Python Environment
How to Work with Jupyter Notebooks
Learning Data Structures and Sequences for Data Science In Python
How to Create Functions in Python
Mastering NumPy Arrays
Mastering Pandas Dataframe and Series
Learning Data Cleaning and Preprocessing
Mastering Data Wrangling
Learning Hierarchical Indexing
Learning Combining and Merging Datasets
Learning Reshaping and Pivoting DataFrames
Mastering Data Visualizations with Matplotlib, Pandas and Seaborn
Manipulating Time Series
Practicing with Real World Data Analysis Example
Enroll in the course and start your path to becoming a data scientist today!
Course Content
- 10 section(s)
- 91 lecture(s)
- Section 1 Introduction
- Section 2 Module 2: Setting Python Environment
- Section 3 Module 3: Working with Jupyter Notebooks
- Section 4 Module 4: Data Structures And Sequences In Python
- Section 5 Module 5: Functions in Python
- Section 6 Module 6: NumPy Arrays
- Section 7 Module 7: Pandas Dataframe
- Section 8 Module 8: Data Loading, Storage with Pandas
- Section 9 Module 9: Data Cleaning and Preprocessing
- Section 10 Module 10: Data Wrangling1: Hierarchical Indexing
What You’ll Learn
- Use Python for Data Science and Machine Learning
- Learn to use Pandas for Data Analysis
- Learn to use NumPy for Numerical Data
- Learn to use Seaborn for statistical plots
- Learn to use Matplotlib for Python Plotting
- You will learn how to use Jupyter Notebook for exploratory computations using python.
- You will learn basic and advanced features in NumPy (Numerical Python)
- You will learn various data analysis tools in Pandas library.
- You will learn the essential tools for load, clean, transform, merge, and reshape data.
- You will learn how to create informative visualizations with matplotlib, seaborn and Pandas
- You will learn how to analyze and manipulate time series data.
- You will learn how to handle real world data analysis, including data preparation and exploration.
Skills covered in this course
Reviews
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AAnesh kumar
Brilliant instructor along with mannered content ... Love from Tharparkar Sindh Pakistan ... Regards Engr Anesh Kumar
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SSolomon Akintola
I learnt alot from this course, I have started implementing it in my analysis, it produces great results
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ÖÖzer Kaya
Very well-structured and a really good presentation. Informative and useful. Thanks a lot
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AAleksandre Gordeladze
The course was well prepared, brilliantly structured and presented. clear speaker, no unintentional breaks and interjections. the time spent really paid of. Now I know a a bit more about an enormous world of the data science. Thanks' to Taher Assaf.
