Datagist INC
In this nearly 50 hours course, we will walk through the complete Python for starting the career in data science and cloud computing!
This is so far the most comprehensive guide to mastering data science, business analytics, statistical tests & modelling, data visualization, machine learning, cloud computing, Big data analysis and real world use cases with Python.
Data science career is not just a traditional IT or pure technical game this is a comprehensive area, and above all, you must know why you conduct data analysis and how to deploy your results to generate values for the company you are working for or your own business. Therefore, this course not only covers all aspects of practical data science, but also the necessary data engineering skills and business model & knowledge you need in different industries.
Whether you are working in financing, marketing, health companies, or you are running start–up, knowing the complete application of Python for data science and cloud computing is the must to achieving various business objective and looking insights into data. Yes, this complete course introduces you to a solid foundation based on the following contents and features
Python programming for data analytics, including Python fundamentals, Numpy array, Pandas Data Frames and Scipy functions.
Instructor Details
Courses : 1
Specification: Complete Python for data science and cloud computing
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7 reviews for Complete Python for data science and cloud computing
Add a review
| Price | $13.99 |
|---|---|
| Provider | |
| Duration | 49 hours |
| Year | 2018 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$13.99
Vikrant Arora –
Giving a poor rating because: jupyter notebooks are simply awful with very unclean codes. Projects are not useful for many reasons like sales prediction project has variable names like M1, M2, Cat1, Cat2. So you make a model for predicting sales but without having knowledge of real feature names you don’t gain much Projects are either on OLS regression or logistic reg. Nothing on important ML algos like DT’s, RF’s, Boosting. Nothing on feature selection or regularization discussed in projects. Instructor isn’t responsive, did not answer my questions even though he says in course description Our experts team will provide comprehensive online support. The course will also be on going updated with announcement. Don’t know if EXPERTS are on vacation or they are too busy to answer student queries Bought this thinking there is lot of stuff provided by instructor but its has not been useful for above mentioned reasons among others. Wish i could get a refund.
Michael Ballard –
Great content for all levels
Hari Prasad Narahari –
So far so good.
Ronald J Young –
Very long course, lots of detailed information. but, there were many negatives: 1. one of the instructors was super boring will put you to sleep. 2. some of the notebooks were missing or mis named. 3. some notebooks did not follow the flow of the lecture many times this was the case. 4. long section on statistics if you want to learn about statistics this would be a plus. 5. section on AWS needed you to sign up for AWS didnt like this went over same methods already covered. 6. section on MS Azure also like AWS section not needed. 7. last two sections could be eliminated into there own course. 8. questions never answered! if you have problems try google to get answers instructors will not answer. The only plus was that they did explain everything very well.
Samrat Tidke –
Simply awesome ….!!!
Hanief Edwards –
Very thorough
Christopher –
so far so good