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2022-08-14T08:11:56Z

IT & SoftwareIT CertificationsData Analysis

Data Analytics Real-World Projects in Python

Build a Portfolio of 5 Data Analysis Projects with Plotly,Folium, TextBlob,Geopy & Many more & get a job of Data Analyst
Bestseller
Rating: 4.6 out of 54.6 (825 ratings)
80,628 students
Created by Shan Singh
Last updated 5/2022
English
English [Auto]

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..
  • 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

Description

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


Student Testimonials:

  • Excellent Course for Data Analytics Real World Projects.. specially in Python. Recommended Course for those who want to start or transform their career in Data Analytics- Alokkumar Mahato


  • nice course, easy to understand lectures. Shan Singh was quick to respond to my questions too. i feel more confident compiling my portfolio now - Burutolu Q

  • I love how in 6 projects I went to 0 to 100% of knowledge of how to use some libraries and how to interpretate the results ! Also all my questions were answered ! Amazin course 110/100 - María Fernanda Villegas CascoU

  • The course was really helpful in learning data cleaning, data manipulation and data visualization. Newer library of plotly was something very new to me. while practizing with the dataset I got to know the pros of using plotly (simple, clear and interactive plots). Overall the coverage of the course with dataset from various industries and their problem set was very comprehensive and I think would match the industry scenario well. Also, I learned a whole new plethora of methods that are being called on class objects which I wasn't familiar with before taking this course.Thanks for your support in Q&A as well.- Abhishek Gajbhiye



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 or as a replacement for Excel, then this course is a perfect match!


Why should you take this Course?

  • It explains Projects on  real Data and real-world Problems. 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, Machine Learning and Data Presentation.


  • Professionals who are exposed to data but can't yet leverage its power


  • Product managers who want to make data-driven decisions


  • It gives you plenty of opportunities to practice and code on your own. Learning by doing.

  • In real-world 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

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


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.
  • Data analysts and business analysts
  • Excel users looking to learn a more powerful software for data analysis

Instructor

Shan Singh
Top Rated & Best-Selling Udemy Instructor , Data Scientist
Shan Singh
  • 4.4 Instructor Rating
  • 5,257 Reviews
  • 280,720 Students
  • 16 Courses

great courses for beginners/working Professionals

If anyone has questions about which course may work best for them, please feel free to contact or message me.

I will teach you the real-world skills necessary to stand out from the crowd. Whether it’s a Data Science , Data Analysis  ,Machine Learning  , Time Series or Natural Language Processing skills and more here.



Query resolution 24*7

One-on-one support from experts that truly want to help you

Query resolution (QnA) - Within 2-3 hours in day time

                                        Hardly it can be 8-10 hours..




learn by doing

Step-by-step tutorials and project-based learning.




more about Shan

Professionally, I am a Data Scientist having experience of 7 years in finance, E-commerce,  retail and transport. From my courses you will straight away notice how I combine my own experience to deliver content in a easiest fashion. To sum up, I am absolutely passionate about Data Analytics and I am looking forward to sharing my own knowledge with you!

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