4.59 out of 5
4.59
791 reviews on Udemy

Data Science Real World Projects in Python

Build Data science Real world Projects in AI, ML , NLP and Time Series domain & Solve Real world Data Science problems..
Instructor:
Shan Singh
78,759 students enrolled
English [Auto]
Hands on Real-World Projects on Various Domains of Data Science in Machine Learning, Natural Language Processing , Time Series Analysis
Develop Natural Language Processing Models for Customer Sentiments
Develop time series forecasting models to predict Prices of stocks
Learn how to map your Problem into Data Science problem
Learn best practices for real-world data sets.
Data Science Capstone Projects

Check out what Other says :

He is very aweome!, He explanied very well all over the concepts and nice teaching and execution, thankyou so much for this aweomse course. Thanks a lot! – Aravindan R

Practical Utility of the learning experience has been well taken care of-which ensures the course to become an interesting one! – Sangita Bhadra

Great Job….I Learnt a lot….I recommend this course for anyone reading this…..I will also urge those who have taking any form of introductory course in machine learning….do yourself a favour and get this course….extremely helpful – Adesan Orire Newman

  • Are you looking to land a top-paying job in Data Science?

  • Or are you a seasoned AI practitioner who want to take your career to the next level?

  • Or are you an aspiring data scientist who wants to get Hands-on  Data Science and Artificial Intelligence?

If the answer is yes to any of these questions, then this course is for you!

Data Science is one of the hottest tech fields to be in right now! The field is exploding with opportunities and career prospects. Data Science is widely adopted in many sectors nowadays such as banking, healthcare, Airlines, Logistic and technology.

The purpose of this course is to provide you with knowledge of key aspects of data science applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.

1.Task #1 @Predict Price of Airlines Industry : Develop an AI model to predict Fare of Airlines at various Routes.

2.Task #2 @Predict the strength of a Password: Predict the category of Password whether it is Strong, Good or Weak.

3.Task #3 @Predict Prices of a Stock: Develop time series forecasting models to predict future Stock prices.

In this course you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities – you name it!

This course will give you a full overview of the Data Science journey.Once u complete this course you will know:

  • How to collect ,clean and prepare your data for analysis

  • How to perform basic & advance visualisation of your data

  • How to perform Data Modelling

  • How to curve-fit your data

  • And finally, how to present your findings and wow the audience

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 Scientist/AI Engineer/ ML Engineer

  • 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 , NLP & Time Series and Data Presentation.

  • 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.

You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Includes

9 hours on-demand video
5 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion

Archive

Working hours

Monday 9:30 am - 6.00 pm
Tuesday 9:30 am - 6.00 pm
Wednesday 9:30 am - 6.00 pm
Thursday 9:30 am - 6.00 pm
Friday 9:30 am - 5.00 pm
Saturday Closed
Sunday Closed