Data Science is an interdisciplinary field that uses scientific methods, algorithms to extract clean information from raw data for the formulation of actionable insights.
The Data Science field is growing so rapidly, and revolutionizing so many industries.
Data Science has incalculable benefits in business, research, and our everyday lives.
Your route to work, your most recent Google search for the nearest coffee shop, your Instagram post about what you ate, and even the health data from your fitness tracker are all important to different data scientists in different ways.
Sifting through massive lakes of data, looking for connections and patterns, data science is responsible for bringing us new products, delivering breakthrough insights, and making our lives more convenient.
It encompasses a wide range of topics:–
Fundamentals of Python.
Python Data Structures.
Python Functions.
Python for Data Science.
Data Cleaning.
Query Analysis.
Data Visualizations using Python.
Statistics and Probability.
Hypothesis Testing.
Data Exploration.
Each of these topics are build on the other. You need to acquire all the skills in the right order.
You are at the right place!!!
Welcome to this online resource to learn Data Science Skills.
The Complete Data Science Bootcamp course will really help you to boost your career.
Specification: Data Science Bootcamp 2022: 5 Data Science Projects
|
10 reviews for Data Science Bootcamp 2022: 5 Data Science Projects
Add a review Cancel reply
This site uses Akismet to reduce spam. Learn how your comment data is processed.
Price | $12.99 |
---|---|
Provider | |
Duration | 15.5 hours |
Year | 2022 |
Level | All |
Language | English ... |
Certificate | Yes |
Quizzes | Yes |
$19.99 $12.99
Gaurav Gangadhar Kulmethe –
perfect course for data science with topic wise quizes to lots of downloadable resources to use for practice. keep it up data is good.
Tej Prakash Vij –
Loops should be explained more. Except this rest is good…. Just wanted to add that Numpy & Pandas both are very vast subject. There should be detailed lectures.
Vedant Jain –
great explanation
Ritik ku patwa –
great explanation
Nikhil Shrestha –
This course very well crafter for beginners to progress with own pace and speed. It helped me a lot as I started learning from many sources and was lost in the way as to where to exactly stop. This course will give exactly what is required for data science, say how much python to study etc. Best part about the course is the techniques they have used in projects (visualisations, feature engineering techniques etc), that jus makes the project come alive. These techniques are actually taught to u before hand and that too in very short n concise manner, which actually makes ur work really easier when u want to refer these techniques during the project. I would highly recommend everyone to take up this course, they will have something for people with advance knowledge in python or DS, which they haven’t known before. Thank you and keep up the good work. God bless ??
Abdul Rehman –
Great Course and effort by Data is Good Team. This is structure way of learning and concept is understandable. keep it up Team.
Wajid Ali Khan –
Nice work pick it up
Gabriel Borja –
Great Data Science course! Well explained and easy to digest. Kudos to Data is Good!
SEGUN GBADAMOSI –
Yes, this has been a good match for me so far
Prashant Trivedi –
Awesome explation and well content