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 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
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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?
Specification: Data Analysis Real world use-cases- Hands on Python
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5 reviews for Data Analysis Real world use-cases- Hands on Python
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Price | $9.99 |
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Provider | |
Duration | 7 hours |
Year | 2022 |
Level | All |
Language | English ... |
Certificate | Yes |
Quizzes | No |
$19.99 $9.99
Juliane M –
The learning effect would be greater, if challenges were included. The teacher is showing how to do the analyses and the student can follow Moreover very exhausting to listen…
Dharmendra Kumar –
awesome course insight
Alokkumar Mahato –
Much Helpful and Beneficial for Data Analyst..
Sebastian Arechederreta –
Very good use cases. I like it when syntax or library inclusion problems occur within courses or tutorials. It makes it so much more real. Highly recommended.
Pankaj Kabdal –
It’s a very good course to take. Project explained very nicely.