Kirill Eremenko
The demand for Data Scientists is immense. In this course, you’ll learn how you can play a part in fulfilling this demand and build a long, successful career for yourself.
The #1 goal of this course is clear: give you all the skills you need to be a Data Scientist who could start the job tomorrow… within 6 weeks.
With so much ground to cover, we’ve stripped out the fluff and geared the lessons to focus 100% on preparing you as a Data Scientist. You’ll discover:
* The structured path for rapidly acquiring Data Science expertise
* How to build your ability in statistics to help interpret and analyse data more effectively
* How to perform visualizations using one of the industry’s most popular tools
* How to apply machine learning algorithms with Python to solve real world problems
* Why the cloud is important for Data Scientists and how to use it
Along with much more. You’ll pick up all the core concepts that veteran Data Scientists understand intimately. Use common industry–wide tools like SQL, Tableau and Python to tackle problems. And get guidance on how to launch your own Data Science projects.
In fact, it might seem like too much at first. And there is a lot of content, exercises, study and challenges to get through. But with the right attitude, becoming a Data Scientist this quickly IS possible!
Instructor Details
Courses : 11
Specification: Intro to Data Science: Your Step-by-Step Guide To Starting
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31 reviews for Intro to Data Science: Your Step-by-Step Guide To Starting
Add a review
| Price | $12.99 |
|---|---|
| Provider | |
| Duration | 5.5 hours |
| Year | 2022 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$12.99
khan faisal –
Yes, it is great
Melissa Q Williams –
Good intro to data science. Wish there would have been a little less selling on some of the tools and would have rather have just jumped into the practical tutorials.
Ramya Gowda –
I was always scared to start a Data Science course as my belief was you need to have a very deep knowledge of Probability and Statistics but realized we just need to have a basic understanding. Thank you for putting all the topics in such a way that I can easily correlate each topic. After seeing your video I am happy to dive into this course.
Vill Vlev –
Amazing! Thanks a lot!
Faishal Ahmad Farrosi –
no slide explanation
Abhishek Jain –
It was good to see the requirements for being a data scientist compiled in single course
Victor G mez Peimbert –
Es una buena elecci n ya que te lleva de la mano en tu aprendizaje
William Murphy –
The course provided a nice overview. It help me put face on many of the terms thrown about dealing with data science.
Thomas Spare –
a good match
Reshma Hingorani –
It is great Learning experience.
Shrishail Hugar –
good
Nur syamimi –
it might be nice to include text while explaining. There are few content video contains only one word on the screen. it would be more understanding if can include word or point of what are you going to explain.
Nitin Sethi –
much comprehensive and simple at same time!
Babatunde O Sode –
Quite informative with adequate hands on practical for a beginner course.
Qian WQ Wang –
It is good.
David Marange –
YES
Theresia R Renata –
through this course I can got a brief view in data science and realized there are many things to learn. thank you!
Curt Jude P De Guzman –
I learned so much about data science/ machine learning/ AI/ data mining/ etc. Great material! I would definitely recommend this to my colleagues.
Irina Schiopu –
A very well structured course on how to dip your toes into data science. 🙂 very good for a first step and for getting a feeling on what you need to know. Thank you, guys!
Suresh Chandrasekaran –
Good & Detailed Intro to Data Science , Keep going Team..
Shobhit Singh –
It was really amazing to rearn with this site
Flavia C Motta –
This learning experience is being really great!
Andres I Bayley Bustamante –
Por ahora bien, veamos como sigue.
Hua Ying Li –
covers important basic topics for data science.
Emiliano Tolaba –
It is a very good introduction to data science, I would recommend it even to people who do not have a bachelor degree in IT.
Monika Jezierska –
ok ok ok
Justin Smith –
Course spent a lot of time going over what to do to become a data scientist instead of actually going over concepts of data science and examples. The examples used for Python were badly presented and I could not even figure out to submit my code (as teacher says press command control enter to submit and do not have that in windows)
Atul Gupta2 –
Too much general talking and philosophy
Antonio Carrasco –
Good introduction to data science. I miss to get some more guides to books or courses to continue learning.
Camilo Macedo –
Maravilhosa aprendizagem e agregar mais conteudo sobre esse assunto que esta no auge do mercado.
Andy Ioannou –
Thorough overview of data science; quality presentation of course content with great examples of how to apply machihne learning techniques to real life examples.