Learn Python Programming for Data Science

Python is used by many programmers & non-programmers such as accountants and scientists. It is used for a variety of everyday tasks, like organizing finances. Learn Python Programming for Data Science from DataTrained. Get an industry-recognized certificate of completion in Python Programming for Data Science course.

4.5
(535 ratings)

850+ Learners

English

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Learn Python Programming for Data Science

$6
850+ Learners

Features

5+ Hours on-demand Video
Certificate of completion
Projects Included
Taught by Industry Pros

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What you'll learn

Introduction
Simple Expression
Data Types
Branching (if else elif)
List
Set_Map_Filter
Loops

Range
break_continue
Tuple_Dictionary
Exception_Handling
Functions
SQLite
class

Syllabus

Best-in-class content by leading faculty and industry leaders in the from of videos, cases and projects, assigments and live sessions

Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it's relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances

Get Industry Recognized Certificate of Completion in Learn Python Programming for Data Science course from DataTrained which can be verified online throughout the world, shared in certification section on your linked profile, downloaded, printed, shared, and mentioned on your resume.

Abhay

The course is good. It gives a detailed description of sqoop and flume. Every concept is very easy and simple to understand.

Raj

Instructor has a good command over the subject. Very nicely explained Excellent content, Every Hadoop developer much visit this course even if you are a experience one.

Instructors

Join DataTrained certified curriculum and learn every skill from scratch. Learn Python Programming for Data Science from the industry’s best thought leaders and upgrade your skills.

Shankargouda Tegginmani

Data Scientist, Accenture

Shankar is a data Scientist with 14 Years of Experience. His current employment is with Accenture and has experience in telecom, healthcare, finance and banking products.

Why Take this Course

High-level programming language: With Python, the code looks very close to how humans think. For this purpose, it must abstract the details of the computer from you: memory management, pointers,… Hence, it is slower than “lower-level language” like C;

Python is interpreted and not compiled: Python code is interpreted at runtime instead of being compiled to native code at compile time;

Python is a dynamically typed language: Unlike “statically-typed” languages like C, C++ or Java, you don’t have to declare the variable type like String, boolean or int. The less you do, the more your computer has to work. For each attribute access, tons of lookup is required. In addition, being very dynamic makes it incredibly hard to optimize Python;

Global Interpreter Lock (GIL): This GIL basically prevents multi-threading by mandating the interpreter only execute a single thread within a single process (an instance of the Python interpreter) at a time.

Learn Python Programming for Data Science

Learn Python Programming for Data Science

Features

What you'll learn

Syllabus

Instructors

Shankargouda Tegginmani

Data Scientist, Accenture

Why Take this Course

100% online

Global Certification

Flexible deadlines

Company

Placement

Learner's Zone

Terms

Micro Degree Courses

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