Description
Data Analysis Course Real world use-cases- Hands on Python. Real-World Data Analysis Use-Cases- Hands on Python course. This is the first course to offer data analysis projects using Python. A common question from Python beginners is: “Do I need to become an expert in Python coding before I start working on data analysis projects?” The clear answer is: “No!”
- You just need some basic Python basics like data types, simple operations/operators, empty lists and arrays which you can learn from my free Python course “Python Basics”.
In summary, if you primarily want to use Python for Data Science/Data Analytics or as an alternative to Excel, this course is a perfect fit! Why should you take this course?
- It explains real-world data analysis projects on real data. No toy information! This is the easiest and best way to become a Data Analyst / Data Scientist
- It shows and explains complete real-world data. Starting with messy data entry, data cleaning, data merging and concatenation, data grouping and aggregation, exploratory data analysis to data preparation and processing for statistics, data analysis, machine learning. and data presentation.
- This gives you plenty of opportunities to practice and code on your own. Learning by doing.
- In real-world data analysis projects, coding and the business side of things are equally important. This is probably the only course that teaches both: deep Python coding and big picture thinking like how you can get results by doing data analysis.
What you will learn in Data Analysis Real world use-cases- Hands on Python course
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After showcasing these projects on your resume, get a job as a data analyst with an average salary of $156,000.
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By the end of this course you will be familiar with the inner workings of the data analysis pipeline – joins, manipulations, filtering, data mining, data analysis
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Solve any problem in your business, career or real time with powerful data analysis libraries
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You will have expertise in Pandas, Numpy, Seaborn, Matplotlib, Plotly, Folium, Geopy, Wordcloud, re and many more.
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Learn how to work with a variety of data in Python, including: Excel data, geographic data, text data, and time series data.
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Solve any problem in your business, career or real time with powerful data analysis libraries
This course is suitable for people who
- All those who want to get into Data Science / Data Analytics.
- Anyone interested in the rapidly expanding world of data analytics/data science
- Data Scientists / Data Analysts who want to improve their data management / manipulation / analysis skills.
- Anyone who wants to switch data projects from Excel to Python (eg in research/science)
- Excel users are looking to learn more powerful software for data analysis
Data Analysis Real world use-cases-Hands on Python course specifications
- Publisher: Udemy
- teacher: Shan Singh
- Training level: beginner to advanced
- Training duration: 7 hours and 20 minutes
- Number of courses: 51
Course headings
Prerequisites of the course Data Analysis Real world use-cases- Hands on Python
- You will need to install Anaconda. We will show you how to do it in one of the first lectures of the course
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 1080p
download link
File(s) password: www.downloadly.ir
Size
3.8 GB
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