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Learn Python Programming for Data Science

  1. 4.5
  2. (535 ratings)
  • 850+ Learners
  • English

Learn Python Programming for Data Science

  1. 199
    • python for data science course
    • how to learn python for data science
    • applied data science with python
    • learn python for data science
    850+ Learners
Features
  • 5+ Hours on-demand Video
  • Certificate of completion
  • Projects Included
  • Taught by Industry Pros

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 for data science and ai
python for data science course

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 Recognize certificate of completion in Learn Python Programming for Data Science course form datatrained education which can we varified online through out the world, shared in certification section on your linked profile, downloaded, priented, shared and mentined on your resume.

how to learn python for data science
applied data science with python Abhay
  1. 4.5

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

python for data science and ai Raj
  1. 4.5

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

Jay Rajasekharan - Data Scientist, IBM
Jay Rajasekharan
Data Scientist, IBM

Currently, he is driving several productivity programs - using data analytics to drive insights from business operations and implementing optimizations such as streamlining workflows, improving service levels, and ultimately reducing cost.

Dr. Deepika Sharma - Training Head, Datatrained
Dr. Deepika Sharma
Training Head, Datatrained

Dr. Deepika Sharma has been associated with academics /corporate education for more than 10 years. She has a deep passion in the field of Artificial Intelligence, Data Science, and Machine Learning.

Shankargouda Tegginmani - Data Scientist, Accenture
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.

python for data science course

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how to learn python for data science

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applied data science with python

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