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Data Analysis Real world use-cases- Hands on Python

via Udemy


Build a Portfolio of 5 Data Analysis Projects with Python, Seaborn,Pandas,Plotly, numpy etc & get a job of Data Analyst

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
  • Solve any problem in your business, job or in real-time with powerful data analysis libraries
  • you will expertise in Pandas , Numpy , Seaborn, Matplotlib , Plotly ,Folium, Geopy , Wordcloud , re and many other..
  • Learn how to work with various data within python, including: Excel Data,Geographical data,Text Data and Time Series Data Data
  • Solve any problem in your business, job or in real-time with powerful data analysis libraries

This is the first course that gives hands-on Data Analysis Projects using Python..

Student Testimonials:

This is the best course for people who have just learnt python basics(prerequisite for this course) and want to become Data Analyst/Data Scientist. This will act as bridge between fundamental theoretical python syntax to its application by using most important data analysis packages(Pandas, Matplotlib, Plotly etc). - Mirza Hyder Baig

Shan Singh is absolutely amazing! Step-by-step projects with clear explanations. Easy to understand. Real-world Data Analysis projects. Simply the best course on Data Analysis that I could find on Udemy! After the course you can easily start your career as a Data Analyst.- Nicholas Nita

A good walkthrough of how python can be used for Data Analysis. Projects 1,2,3, 4 were related to Data Analytics. But, Project 5 was more like a Data Science project since we use nltk, sentimental analysis, text analytics, etc. Overall, a very good course for beginners and those who want to check their python skills for data analysis - Karthik

Can you start right now?

A frequently asked question of Python Beginners is: "Do I need to become an expert in Python coding before I can start working on Data Analysis Projects?"

The clear answer is: "No!

  • You just require some Python Basics like data types, simple operations/operators, lists and numpy arrays that you can learn from my Free Python course 'Basics Of Python'

As a Summary, if you primarily want to use Python for Data Science/Data Analytics or as a replacement for Excel, then this course is a perfect match!

Why should you take this Course?

  • It explains Real-world Data Analysis Projects on real Data . No toy data! This is the simplest & best way to become a Data Analyst/Data Scientist

  • It shows and explains the full real-world Data. Starting with importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Data Analysis , Machine Learning and Data Presentation.

  • It 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: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion by doing Data Analysis ..

  • Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.

Taught by

Shan Singh


4.4 rating at Udemy based on 642 ratings

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