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!”
- All you need is some basic Python fundamentals like data types, simple operations/operators, empty lists and arrays which you can learn in my free Python course “Python Fundamentals”.
To sum up, if you want to use Python primarily for data science/data analytics or as an alternative to Excel, this course is for you! Why should you take this course?
- It explains real data analysis projects with 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 from 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 and machine learning. and data presentation.
- This gives you plenty of opportunities to practice and program on your own. Learn by doing.
- In real-world data analytics projects, coding and the business side 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 from data analysis.
What you will learn in the Data Analysis – Real-World Use Cases – Hands on Python course
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After featuring these projects on your resume, you will 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 – joining, manipulation, filtering, data extraction, data analysis
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Solve any problem in your business, career or in real time with powerful data analytics libraries
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You 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 wide 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 in real time with powerful data analytics libraries
This course is suitable for people who
- Anyone who wants to get into data science / data analytics.
- Anyone interested in the fast-growing world of data analytics/data science
- Data scientists/data analysts who want to improve their data management/manipulation/analysis skills.
- Anyone who wants to move data projects from Excel to Python (e.g. in research/science)
- Excel users are looking for more powerful data analysis software
Data Analysis Real World Use Cases – Hands on Python Course Specifications
- Editor: Udemy
- Teacher: Shan Singh
- Training level: beginner to advanced
- Training duration: 7 hours and 20 minutes
- Number of courses: 51
Course headings
Prerequisites for the course Data Analysis Real-World Use Cases – Hands on Python
- You need to install Anaconda. We will show you how to do this in one of the first lectures of the course
Course pictures
Sample video of the course
installation Guide
After extracting, you can watch it with your favorite player.
English subtitles
Quality: 1080p
Download link
free download software
Size
3.8GB