Learn most in demand skill in space of Data Science, Data analytics : Data analysis library Pandas & NumPy – Python
What you’ll learn
Student Testimonial :
It’s one of the best course !!! Most of the topics has been covered and explained up to the expectation – Ankur SIngh
it is a good match with what i was looking for, the instructor is quite knowledgeable. – Shivi Dhir
This class is not too fast or too slow, the way he teaches is perfect. – Frankie Y
It is excellent – Rakhshee Misbah
good experience – Weiting
———————————————————————————————————–
Update : New section on Numpy Library get added.
———————————————————————————————————–
There era of Microsoft Excel is going to be over, so would you like to learn the next generation one of the most powerful data processing tool and in demand skill required for data analyst, data scientist and data engineer.
Then this course is for you, welcome to the course on data analysis with python’s most powerful data processing library Pandas.
Why this course?
Data scientist is one of the hottest skill of 21st century and many organisation are switching their project from Excel to Pandas the advanced Data analysis tool .
This course is basically design to get you started with Pandas library at beginner level, covering majority of important concepts of data processing data analysis and a Pandas library and make you feel confident about data processing task with Pandas at advanced level.
What is this course?
This course covers
Regards
Ankit Mistry
Who this course is for:
Last updated 4/2019
English
English [Auto-generated]
Size: 4.21 GB
What you’ll learn
- Update your resume with one of the in demand skill : Data analysis Pandas
- Setting up Python in anaconda environment
- Refresh Python basics with crash course
- Learn Most demanded python data analysis library : Pandas
- Three important data structure of pandas : Series, Data Frame, Panel
- Learn how to analyse one, two and three dimensional data
- How to group Data for analysis
- How to deal with Text Data with Pandas Functions
- Analyse data having multiple level index.
- Array and Matrix manipulation Library NumPy
- Windows/Linux/MAC machine
- Basic idea about Programming concepts
Student Testimonial :
It’s one of the best course !!! Most of the topics has been covered and explained up to the expectation – Ankur SIngh
it is a good match with what i was looking for, the instructor is quite knowledgeable. – Shivi Dhir
This class is not too fast or too slow, the way he teaches is perfect. – Frankie Y
It is excellent – Rakhshee Misbah
good experience – Weiting
———————————————————————————————————–
Update : New section on Numpy Library get added.
———————————————————————————————————–
There era of Microsoft Excel is going to be over, so would you like to learn the next generation one of the most powerful data processing tool and in demand skill required for data analyst, data scientist and data engineer.
Then this course is for you, welcome to the course on data analysis with python’s most powerful data processing library Pandas.
Why this course?
Data scientist is one of the hottest skill of 21st century and many organisation are switching their project from Excel to Pandas the advanced Data analysis tool .
This course is basically design to get you started with Pandas library at beginner level, covering majority of important concepts of data processing data analysis and a Pandas library and make you feel confident about data processing task with Pandas at advanced level.
What is this course?
This course covers
- Basics of Pandas library
- Python crash course for any of you want refresh basic concept of python
- Python anaconda and Pandas installation
- Detail understanding about two important data structure available in a Pandas library
- Series data type
- Data frame data type
- How you can group the data for better analysis
- How to use Pandas for text processing
- How to visualize the data with Pandas inbuilt visualization tool
- Multilevel index in Pandas.
- Numerical Python : NumPy Library
- 80+ HD (1080p) video lecture
- 11+ hours of content
- Discussion forum to resolve your query.
- quizzes to to test your understanding
Regards
Ankit Mistry
Who this course is for:
- Beginner Python developer who is curious about Data Science, Not for experienced Data Scientist
- Anyone who want to make career in Data Science, Data analytics
- Anyone wants to learn data analysis with python language
- Excel user who wants to enhance data analysis skills.
Last updated 4/2019
English
English [Auto-generated]
Size: 4.21 GB