python training & certification course

What is the best training & certification course to learn Python programming language

10 Best Python Programming training, certification and specialization online course

 

1.Python Basics – Training Course Offered by the University of Michigan (Coursera)

Python Basics – Training Course Offered by the University of Michigan (Coursera)

This course introduces the basics of Python 3, including conditional execution and iteration as control structures. It also covers strings and lists as data structures. The course has no prerequisites and is perfect for the newcomer to Python programming.

Offered ByNumber of users enrolledUsers RatingCourse Duration
University of Michigan334324.84 weeks, 24 Hours

Level – Beginners

Skills to learn

  • Programming in python
  • Drawing images by writing a program
  • Basics of few python data types viz.  lists, strings, tuples
  • Able to write complex programs
  • Basics of an accumulation pattern
  • Python data type – the Boolean
  • Binary, Unary, Nested, and Chained Conditionals
  • Learn to incorporate conditionals within an accumulation pattern
  • Deeper knowledge on the use of python objects in general
  • Learn to use the accumulation pattern with lists and with strings

Useful for

  • Beginners who need a refresher on Python basics.
  • Those who may have had some exposure to Python programming but want a more in-depth.

Review Highlights

  • 40% of students started a new career after completing this course
  • Around 41% got a tangible career benefit after this course
  • Almost23% got a pay hike or promotion

Conclusion – A perfect choice to learn the basics of Python.

2. Python 3 Programming Specialization Certification Training Course (Coursera)

Programming Specialization by Coursera

Offered by the University of Michigan this specialization course teaches the fundamentals of programming in Python 3. The course offers a lot of opportunities to practice. One will also learn ways to reason about program execution so that it is no longer mysterious. Hence the learner will be able to debug programs when they don’t work. This specialization course is a pack of 5 courses. This includes – 1. Python Basics, 2. Python Functions, Files, and Dictionaries, 3. Data Collection and Processing with Python, 4. Python Classes and Inheritance and 5. Python Project: pillow, tesseract, and OpenCV. After successfully completing this course one can write programs. Such programs query Internet APIs for data and extract useful information from them.

Offered ByNumber of users enrolledUsers RatingCourse Duration
University of Michigan13,5234.62 Months

Level – Beginners

Skills to learn

  • Introduction to basics of Python3.
  • Json
  • Computer Programming
  • Storing
  • Conditional execution and iteration as control structures
  • Strings and lists as data structures
  • Dictionary data structure and user-defined functions
  • Local and global variables, optional and keyword parameter-passing, named functions and lambda expressions
  • Python’s sorted function and how to control the order in which it sorts by passing in another function as an input.
  • Simulated social media data from a file, compute sentiment scores, and write out .csv files
  • Learn to fetch and process data from services on the Internet.
  • Learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs
  • Introduction to classes, instances, and inheritance
  • Use of classes to represent data in concise and natural ways.
  • How to override built-in methods and how to create “inherited” classes that reuse functionality
  • Learn about how to design classes
  • Introduced to the good programming habit of writing automated tests for their code
  • Hands-on project suitable for a portfolio
  • Introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow),
  • How to apply optical character recognition to images to recognize text (tesseract and py-tesseract),
  • How to identify faces in images using the popular opencv library. 

Useful for

This course is best suited for those who are already familiar with Python fundamentals. It is also appropriate as the first set of courses in Python if someone is already familiar with some other programming language, or are up for the challenge of diving in head-first.

Conclusion – One will be able to learn to use new modules and APIs by reading the documentation. That will give a great launch toward being an independent Python programmer.

3. Python for Everybody Specialization Certification Training Course  (Coursera)

3. Python for Everybody Specialization Certification Training Course  (Coursera)

Offered by the University of Michigan this Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. There are 5 Courses in this Specialization- 1. Programming for Everybody (Getting Started with Python), 2. Python Data Structure, 3. Using Python to access web data, 4. Using a database with Python, and 5. Capstone: Retrieving, Processing, and Visualizing Data with Python

Offered ByNumber of users enrolledUsers RatingCourse Duration
University of Michigan2456054.84 Months

Level – Beginners

Skills to learn

  • Create own applications for data retrieval and processing
  • Describe the basics of the Structured Query Language (SQL) and database design
  • Explain the basics of programming computers using Python
  • Understand fundamental programming concepts such as data structures
  • Json
  • Xml
  • Python Programming
  • Database (DBMS)

Useful for

This course is best suited for Data Analysts, Financial Analyst, Risk Managers, Geologists, and Traders.

Conclusion – Series of courses are clubbed in this course which helps in mastering the skill. After finishing all the courses and hands-on one will be entitled to get a certificate which will add value to the resume and professional network.

4. Python Certification Training course for Data Science 

Python Certification Training course for Data Science 

Offered by Edureka this course enables to learn Python from scratch. This Python Course will also help in mastering important Python programming concepts such as data operations, file operations, object-oriented programming and various Python libraries such as Pandas, Numpy, Matplotlib which are essential for Data Science. Edureka’s Python Certification Training course is also a gateway to your Data Science career.

Offered ByNumber of users enrolledUsers RatingCourse Duration
Edureka480004.577 Weeks

Level – Beginners

Useful for

  • Programmers, Developers, Technical Leads, Architects
  • Developers aspiring to be a ‘Machine Learning Engineer’
  • Analytics Managers who are leading a team of analysts
  • Business Analysts who want to understand Machine Learning (ML) Techniques
  • Information Architects who want to gain expertise in Predictive Analytics
  • ‘Python’ professionals who want to design automatic predictive models

Key Highlights

  • Instructor-led Live Sessions
  • Real-life Case Studies
  • Classes followed by assignments
  • Lifetime Access
  • 24 x 7 Expert Support
  • Certification
  • Access to the global community forum
  • Cloud Lab to get real-time hands-on experience

Conclusion – Edureka’s Python Certification Training course is a gateway to Data Science career. The course is highly recommended to the students looking for a data scientist career.

5. Programming for Data Science with Python – Training course by Udacity

Python Certification Training course for Data Science 

Offered by Udacity this is one of the nanodegree programs. This helps in preparing for a data science career by learning the fundamental data programming tools: Python, SQL, command line, and git. It teaches the basic programming skills that qualify the student for any entry-level programming positions.  With over 2000 project reviewers and over 1000 technical mentors this course has a student satisfaction rating of 4.9/5.

As a Nanodegree program graduate, students are eligible to join the Udacity Talent Program. Resume is shared with the network of preferred employers who are actively looking to hire Udacity talent.

Offered ByUsers RatingCourse Duration
Udacity4.93 Months

Level – Beginners

Useful for

For the aspirants seeking a bright career in data

 Skills to learn

  • Basics to SQL including Basic SQL, SQL Joins, SQL Aggregations, and Advanced SQL Queries
  • Introduction to Python Programming – Why Python Programming, Data Type and Operators, Control Flow, Functions, Scripting, Numpy, Pandas,
  • Introduction to Version Control – Shell Workshop, Purpose & Terminology, create a Git Repository, Review a Repository History, Add Commits to a Repository, Tagging, Branching, and Merging, Undoing Changes

Key Highlights

  • Real-world projects from Industry Experts
  • Personal Career Coach
  • Knowledgeable mentor
  • Interview preparations advise and career guidance
  • Resume services
  • Resume shared with 500+ employers
  • Flexible learning and payment plan

Conclusion – Nanodegree program is a project and skills-based educational credential program. Its focus is on demonstrable skills mastery. The ultimate goal of a Nanodegree program is to teach the skills you need, for the career you want, so you can build the life you deserve.

6.  Introduction to Python: Absolute Beginner Training course

Introduction to Python: Absolute Beginner Training course

This introductory course is Offered by Microsoft and marketed by edX. It is perfect for true beginners who want to learn Python basics and start coding.

Level – Introductory

Duration – 5 Weeks

Skills to learn

  • Using Python in Jupyter Notebooks
  • Gathering input and manipulating input/output
  • Building reusable Functions with parameters and return values
  • Decisions and repetition using conditional statements and loops

Key Highlights –  The learning to this course is free (except a valid certification)

Conclusion- Offered by Microsoft this course is perfect for the beginners.

7. Introduction to Python for Data Science – Training course by edX

Introduction to  Data Science - by edX

Offered by Microsoft, marketed by edX this course starts from the very basics of arithmetic and variables. Further, it teaches how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames.  It also teaches about Python functions and control flow. The course gives an overview of the world of data visualizations with Python. It enables students to create own stunning visualizations based on real data.

Level – Introductory (Prerequisites -Some experience in working with data from Excel, databases, or text files)

Duration-  6 Weeks

Skills to learn

  • Explore Python language fundamentals, including basic syntax, variables, and types
  • Create and manipulate regular Python lists
  • Use functions and import packages
  • Build Numpy arrays, and perform interesting calculations
  • Create and customize plots on real data
  • Supercharge your scripts with control flow, and get to know the Pandas DataFrame

Key Highlights – The learning to this course is free (except a valid certification)

Conclusion – This course is advised to the aspirants of data science having some experience of working with data from Excel, databases, or text files.

8. IBM Data Science Professional Certification Training Course (Coursera)

Offered by IBM this program is a pack of 9 courses providing latest job-ready skills and techniques. It includes a wide array of data science topics like open-source tools and libraries, methodologies, Python databases, SQL, data visualization, data analysis, and machine learning.

Offered ByNumber of users enrolledUsers RatingCourse Duration
IBM740164.63 Months

Level – Beginners

Skills to learn

  • Data Science
  • Machine Learning
  • Python Programming
  • Data Analysis
  • Data Visualization (DataViz)

Key Highlights –

  • Build the Skills to Get Job Ready
  • Hands-On Projects
  • Earn a Career Credential

Useful for

This course is best suited for Data Analysts, Process Analyst, Data Scientists, Business Analysts, Risk Managers, etc.

Conclusion – This is an ideal course for focused students who are looking for a career in the field of data science. The course provided ample opportunity for students to get in-depth knowledge of the subject.  The advantage of this course is that one can practice hands-on in the IBM Cloud using real data science tools and real-world data sets

9. The Python Bible- Online Course by Udemy

The Python Bible- Online Course by Udemy

Offered by Udemy this is a beginners’ course for those who are new to the programming world.

Offered ByNumber of users enrolledUsers RatingCourse Duration
Udemy703264.62-3 weeks

Level – Beginners

Skills to learn

  • Build 11 Easy-to-Follow Python 3 Projects
  • Automate Coding Tasks By Building Custom Python Functions
  • Add Python 3 to your Resume by Understanding Object-Oriented Programming (OOP)
  • Use Variables to Track Data in Python Programs, Numbers to Create “Behind-the-Scenes” Functionality and Strings to Create Customized, Engaged User Experiences
  • Create Programs that can think using logic and data structures
  • Use Loops to Improve Efficiency, Save Time, Maximize Productivity

Conclusion- The course provides a good value for the money being charged. Good skill to learn.

10. Data Science with Python Training Course

Data Science

This Course is offered by simplilearn, co-developed with IBM. It helps in mastering data science and analytics techniques using Python. With this course, one will learn the essential concepts of Python programming. This includes deep knowledge in data analytics, machine learning, data visualization, web scraping, and natural language processing

Offered ByNumber of users enrolledUsers RatingCourse Duration
Simplilearn & IBM58164+90 days

The Data Science with Python course will furnish you with in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning and natural language processing using Python. 

Skills to Learn

  • Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics
  • Install the required Python environment and other auxiliary tools and libraries
  • Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
  • High-level mathematical computing using the NumPy package and its large library of mathematical functions
  • Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
  • Perform data analysis and manipulation using data structures and tools provided in the Pandas package
  • Gain expertise in machine learning using the Scikit-Learn package
  • Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline
  • Use the Scikit-Learn package for natural language processing
  • Use the matplotlib library of Python for data visualization
  • Extract useful data from websites by performing web scrapping using Python
  • Integrate Python with Hadoop, Spark, and MapReduce

Useful for

  • Analytics professionals who want to work with Python
  • Software professionals looking to get into the field of analytics
  • IT professionals interested in pursuing a career in analytics
  • Graduates looking to build a career in analytics and data science
  • Experienced professionals who would like to harness data science in their fields
  • Anyone with a genuine interest in the field of data science

Key Highlights

  • 4 real-life industry-based projects
  • Lifetime access to self-paced learning
  • Dedicated mentoring session from our faculty of industry experts
  • Interactive learning with Jupyter notebooks labs

Conclusion- Python is a must skill for many of the data science positions. It is an ideal choice to jumpstart a career with this interactive, hands-on course.

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