What you'll 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..
Requirements
You will need to install Anaconda. We will show you how to do it in one of the first lectures of the course
Who this course is for:
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 who want to improve their Data Handling/Manipulation/Analysis skills.
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