Answer 1

Perhaps follow Data Science .

Similar inquiries:

https://www.sololearn.com/discuss/920867/
https://www.sololearn.com/discuss/1349450/
https://www.sololearn.com/discuss/830019/

https://www.sololearn.com/discuss/1030255/
https://www.sololearn.com/discuss/356515/

Please search prior to posting.

(keyword: "after" or "data science")

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Happy coding!

P.S. Please see the following post for a humorous interpretation (but still an earnest plea).

https://www.sololearn.com/post/10362/?ref=app

Answer 2

Start learning numpy ,pandas,matplotlib, these are the most basic Python libraries for data science
And learn machine learning algorithms which require some basics of maths ,statistics
Participate in kaggle competitions after you learn some basic algorithms

Answer 3

All of the above, if you can handle it.

Answer 4

Go for Data science with python

Answer 5

Then, if that is so, I suggest you follow Kuba Siekierzyński. He is one of the right person to ask regarding this matter

Answer 6

There are many other

Answer 7

After learning python and if the path is Data Science then learn these-
. Pandas
. Numpy
. Matplotlib
. ScikitLearn
. SQL
These are some of the useful libraries for data science practitioner.

Answer 8

Data visualization
Machine learning

Answer 9

Try kaggle.com tutorials. There is a simple way to start in sata science and ml. It will give you hands on expirience and satisfaction from creating your first ml models.

Answer 10

learn

machine learning

deep learning concepts

Answer 11

There are many books on the web for machine learning with Python. This way you advance your programming skills at the same time learning and practising it's application

Answer 12

If you are interested in statistical coding, you may wish to explore R programming.
https://www.r-project.org/

Answer 13

learn java since python it is easy you will learn java very easy

Answer 14

Learn Datascience, Machine-learning, math lab, deep-learning, AI, GUI, ROBOTICS, SQL, my sql, DBS, DNS, RDBMS, E56, Numpy,.Boitechnology, informatics, Bioinformatics Engineering, software engineering.
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Answer 15

Try SQl or Ruby.