Data Analysis With Python For Beginners: Learn By Practice
Use Python for data analysis, learn Python libraries like pandas and learn to perform data analysis.
Description
Data Science With Python
Learn how to perform data analysis in Python using the powerful Pandas library.
Here Is What You Get By Enrolling In This Course:
Word-By-Word Explanation: In the entire course, I explain each line of code, without skipping a single line of code.
Awesome Quality Content: Over 5+ hours of HD(1080p) Videos.
Well Structured & Easy To Learn: This course teaches you the exact process of performing analysis on a set of data and drawing meaningful conclusions from it.
24 X 7 Support: I will always be there to guide you in your journey to become Python project expert.
Note: Student queries and problems will be answered immediately.
Here Is Everything You Will Learn In This Complete Course:
The Complete Course is divided into 10 Major sections:
Section 1: Introduction to Numpy.
Section 2: Series & Data Frames.
Section 3: Arithmetic between series and data frame.
Section 4: Functions, sorting & ranking.
Section 5: Handling data & Indexing.
Section 6: Data loading.
Section 7: Merging & reshaping.
Section 8: Data visualization.
Section 9: Data transformation.
Section 10: Time series.
So let's begin the journey of becoming an expert in Data Analysis.
In addition to the Udemy 30-day money back guarantee, you have my personal guarantee that you will love what you learn in this course. If you ever have any questions please feel free to message me directly and I will do my best to get back to you as soon as possible!
Make sure to enrol in the course before the price changes.
Take yourself one step closer towards becoming a professional Data Analyst by clicking the "take this course button" now!
Join the journey.
Sincerely,
Ashutosh Pawar
What You Will Learn!
- How to use Numpy & Pandas to perform data analysis.
- How data is manipulated in the form of series and Data Frames.
- How to extract, clean and load data for analysis.
- Different kinds of methods used in the process of analyzing raw data.
Who Should Attend!
- Students who want to start their career in the data science domain .
- Anyone who wants to use Python for data analysis.