Data Analytics Real-World Projects in Python

Make Portfolio/Resume of 5 Data Analysis Projects in Python and R using Pandas, Seaborn, dplyr etc and be a Data Analyst

Created by: Shan Singh
Top Rated & Best-Selling Udemy Instructor , Data Scientist

What Will I Learn?

• Get a job as a data Analyst on an average $156,000 after showcase these Projects on your Resume
• By the end of this course you will understand the inner workings of the data analytics pipeline -joining,manipulating,filtering, extracting data ,Analysing Data
• Learn how to work with various data within python, including: Excel Data,Geographical data,Text Data and Time Series Data Data
• Be able to create in depth analyses with Pie charts, Bubble charts, Wordcloud and even geographical maps.
• you will expertise in Pandas ,Seaborn, Matplotlib ,Plotly ,Folium, Geopy, Wordcloud and many other..
• Solve any problem in your business, job or in real-time with powerful data analysis libraries

Requirements

• You will need to install Anaconda. We will show you how to do it in one of the first lectures of the course

Target audience

• Everyone who want to step into Data Science/Data Analytics.
• Anyone interested about the rapidly expanding world of data Analytics/Data Science
• Everyone who want to switch Data Projects from Excel to Python (e.g. in Research/Science)
• Data Scientists/Data Analyst who want to improve their Data Handling/Manipulation/Analysis skills.
• Data analysts and business analysts
• Excel users looking to learn a more powerful software for data analysis