List of Online Courses and Certifications

The high-level digitisation of processes across various industries is rising. This has fuelled the popularity of data science technology. The Data Science L2 programme aims to provide you with the entire toolkit for becoming a Data Scientist. You WILL also receive a valuable certificate after meeting certain eligibility criteria.

The Indian Institute of Technology (IIT), Ropar, accredits the Data Science L2 online course. This module-based programme spans 4 weeks, where you will learn through live online sessions and case studies. Plus, you will work on a capstone project and understand how to apply your learnings for tackling real-life business cases. The curriculum will make you proficient in logistic and linear regressions in Python, factor analysis, pre-processing data, and other vital areas.

Throughout the Data Science L2 online programme by IIT Ropar, you will explore in-demand data skills. These include Machine Learning (ML) with sci-kit-learn and stats models, Natural Language Processing (NLP), advanced statistical analysis, computer vision, etc. You will also learn Python programming with Seaborn, matplotlib and NumPy.

The Machine Learning using the Python program using the Digital India platform is offered by the NIELIT located at Gorakhpur-Extension Centre Lucknow. Since machine learning is a rapidly developing subfield of Artificial Intelligence, this course introduces the student to the world of Machine Learning starting with its basic concepts and techniques. The program runs for a duration of 6 weeks. 

As an online platform-enabled course, it is easily accessible through its portal and candidates can pursue this course in two different languages which are Hindi and English. The course is designed to use Python programming language as a tool for data analysis and solve problems of Machine Learning by employing its algorithms. The course offers mini-projects throughout its duration for student assessment. Before the final exam, the course offers a Question and Answers session for students to clear their doubts and seek clarifications.  This course offers a certificate of completion to all candidates who pass the requirements successfully. 

Applied Machine Learning in Python an intermediate-level course administered by the University of Michigan. The learners will be exposed to applied machine learning in python. Applied Machine Learning in Python Certification Syllabus, developed by Kevyn Collins-Thompson, the Associate Professor at the School of Information, will walk the students through many aspects of applied machine learning, especially the techniques and methods. 

Provided by Coursera, the Applied Machine Learning in Python Certification Course helps the students to have a deep knowledge of building ensembles, practical limitations of predictive models, supervised and unsupervised techniques, and the like. Applied Machine Learning in Python Certification by Coursera is the third course in Applied Data Science with Python Specialization. 

The Data Visualisation with Python: Bokeh and Advanced Layouts course is a part of the data visualisation with python which is offered by the FutureLearn portal in collaboration with Coventry University, U.K. In this course, learners will understand different phases of data exploration, data analysis and learn about the plot layouts, interactions and annotations using python on bokeh. This course will be delivered in online mode. 

The course will be conducted by Ed Marks using English as a medium of instruction. The duration of the course will be four weeks wherein candidates will have to invest at least four hours per week to complete the course modules on time. To apply for this course, candidates are advised to check the provider’s official website and register for the Data Visualisation with Python: Bokeh and Advanced Layouts online course. For details related to this course, please check the article below.

The Data Visualisation with Python: Matplotlib and Visual Analysis course is one of the segments of the data visualisation with python course. The course is offered by the FutureLearn portal in collaboration with Coventry University, UK in online mode. Learners will learn about the use of python for business analysis, different types of data visualisation along with creating plots in python using matplotlib and time-series information.

The Data Visualisation with Python: Matplotlib and Visual Analysis training programme will be instructed by Ed Marks and Alastair Gill. The course will be a four weeks programme, where investing four hours per week will help to complete the course modules on time. A 7 days free trial will be offered by the provider after which a monthly subscription of $39 has to be taken to access the course completely.  For details related to the Data Visualisation with Python: Matplotlib and Visual Analysis course, please check the article below.

The Data Visualisation With Python: Seaborn and Scatter Plots online course is offered by the FutureLearn portal in collaboration with Coventry University, U.K. It is one of the parts of the Data Visualisation With Python programme offered which is available on the portal. Through this course, learners will learn the use of seaborn in python, understand the uncertainty in data and visualisation workflow. Also, candidates will learn the use of different tools in data visualisation.

The Data Visualisation With Python: Seaborn and Scatter Plots training is for four weeks duration in online mode. This course will be instructed by Ed Marks with English as a medium of instruction, in which candidates will have to give inputs of four hours weekly to complete the Data Visualisation With Python: Seaborn and Scatter Plots certification syllabus. To apply for this course, students will have to visit the provider’s official website and enroll on it. For details regarding the course, admission process, fee structure, etc, please go through the article below.

As the user interacts with organizations has been growing at a rapid rate, the demand for new talents in the sector of data analysis has been growing because of the huge mountains of data being dumped on the company servers. As a result of this, the need for skilled professionals in the Python field too has risen in consequence since it happens to be the most used programming language for application development and has user-friendly data structures.

Python Programming and Data Science bring to the candidates the chance of mastering both these sectors through one course. The specialization program has been designed as such that it covers every necessary tool required in these two domains.

The program has been made 4-weeks long and effectively teaches the applicants all important concepts like Python modules, data-frames, analysis tools with perfect details. The is specially customized to take care of all the doubts the candidates might face and it successfully by introducing both English and Hindi as a medium of instructions.

Data Science has enabled many industries and organisations to make better business decisions by providing useful insights and information. Hence, this exciting branch of science can be used to test new techniques, theories and models. Python for Data Science online programme is an undergraduate-level course that falls under Computer Science and Engineering, Artificial Intelligence and Data Science categories.

The Python for Data Science course curriculum has been curated by the prestigious IIT Madras faculty and delivered by Prof. Ragunathan Rengasamy. Also, the certification has been designed as a four-week-long course that will be divided into several modules. It will teach you the basics of the Python programming language and how it can be used to solve data science problems.

Furthermore, the course will equip you with skills to use Python and data science which are extremely important and valuable today. You will learn through video lectures and will be given regular weekly assignments during the tenure. When you finish all the modules in the Python for Data Science certification course, you further obtain a certificate by qualifying the eligibility criteria.

The Data Wrangling and Ingestion using Python Online Course is offered by the FutureLearn portal in collaboration with Github and endorsed by Coventry University, U.K. This training course is the third installment of the Data Analytics Using Python programme available at the portal. During this course, learners will gather knowledge about Python functions and how to use python in the data analysis process. Along with this, candidates will explore the use of SQL in data analysis and gain insight into the fundamentals of databases using SQL. 

The Data Analytics Using Python: Data Wrangling and Ingestion syllabus is divided into four weeks in which candidates will get deep knowledge about Python and its use in managing the different databases of the organisation. This course will be instructed by Ed Marks with English as a medium of instruction. 

To apply for the Data Wrangling and Ingestion using Python Training Course, candidates must visit the provider’s official website and register.  For other details regarding the course such as admission process, fee structure, etc. Candidates are advised to go through the entire article given below.

The Python Packages: NumPy and Pandas Dataframe Training Course is the second edition of the Data Analytics Using Python training programme that is offered by the FutureLearn portal in association with Github and endorsed by Coventry University, U.K.  In this course, learners will learn how to apply the fundamentals of Python programming in a project. Also, candidates will gain knowledge about data ingestion and how it is done by using python. Through this course, candidates will develop knowledge for data analysis and use python programming language more effectively.

The Python Packages: NumPy and Pandas Dataframe Certification Syllabus is divided into four weeks where candidates will develop their analytics skills using python and explore data ingestion with CRISP-DM methodology. The course will be instructed in English by Ed Marks. The Python Packages: NumPy and Pandas Dataframe Online Course will be conducted in online mode through various interactive sessions, doubt sessions, etc. Candidates who are interested in taking admission to this course must visit the FutureLearn official website and register. To get all details related to the Python Packages: NumPy and Pandas Dataframe Course, candidates must go through the article given below.

The Data Analytics and Python Fundamentals Certification Course is offered by the FutureLearn portal in collaboration with Github and endorsed by Coventry University, U.K. Through this course, learners will learn the fundamentals of statistics and its application in data analytics. Also, candidates will learn to use Python in data wrangling, ingestion, and use of advanced data analysis tools and techniques such as data mining and machine learning.

The Data Analytics and Python Fundamentals Online course is a part of the Data Analytics Using Python programme. The course will be taught by Ed Marks with English as a medium of instruction. The course syllabus is divided into four weeks which will focus on the key aspects of data analysis and the use of python. Candidates who are willing to take admission to the Data Analytics and Python Fundamentals Training Course must visit the FutureLearn portal and register. All details related to this course are given below in the article. Candidates are advised to go through the article carefully.

The Deep Learning on Azure with Python: Introduction to Deep Learning online course is about deep learning in the discipline of Python and Machine learning. The programme is hundred percent online and is available on the website of Future Learn. Participants will be aware of the several types of neural networks, deep learning framework, automating functions. 

The Deep Learning on Azure with Python: Introduction to Deep Learning certification course aims to provide theoretical as well as a practical learning of the course for a better understanding of the concepts. The course can be pursued in the self-paced mode and allows the user to enjoy the liberty of choosing their own study schedules according to their preferences. 

Students are expected to complete the Deep Learning on Azure with Python: Introduction to Deep Learning certification syllabus in one month. If the student spends a minimum of five hours a week, he or she will be able to understand the concepts in the stipulated time. If the student becomes successful in completing the course entirely, he or she will be eligible for a professional certificate of the programme.

Python Programming Certification Course is an opportunity for the learners to master Python programming concepts. This course is being offered by Edureka. Edureka is an online learning platform, that provides the students with an opportunity to complete their courses by way of live online courses. 

This course has been built by top industry experts, especially for keen learners who wish to master the Python programming language. They will be given a detailed understanding of the fundamentals of this programming language. This course is a blend of basic and advanced concepts of Python programming language. It covers concepts such as writing Python scripts, web scraping, sequence and file operations, and object-oriented concepts. 

After the Python Programming Certification Course  training participants will learn about many vital and widely used Python libraries such as NumPy, pandas, and Matplotlib, among others. They will be trained in Data Operations, testing codes, downloading programmatically, analyzing data, and implementing the techniques in order to deal with different types of data – categorical, encoding, ordinal, creating data visualization, using Python notebooks, and the technique of presenting data analysis step-by-step.

The course of Python Programming certification course is an exceptional learning platform for candidates for building their programming skills by learning the concepts and ideation of python as a programming language. This course has a unique course curriculum that provides a crisp knowledge of programming concepts required for developing the understanding of python.

The Python Programming training course provides foundational knowledge of the basics of programming languages like file processing, sequence data types, introduction to python, expressions and operators, introduction to programming, NumPy, function, python statements, flowcharts and algorithms for solving problems. The topics covered by the course enable candidates in getting detailed knowledge of python and its core contents.

With this National Institute of Electronics and Information Technology, Gorakhpur course the candidates get the opportunity of revising the basics of programming along with building and understanding the advanced level conceptual topics of python. Candidates will also learn about the typical concepts of nested loops and variable constant functions used in python and other programming languages.

The Wiley Certified - Python Programmer certification course is created to explore the working of packages, installing and operating Integrated development environment, type conversion, Performing operations on variables, The course consists of various extensive hands-on work, assignments, and live training.

The Wiley Certified - Python Programmer certification By WileyNXT offers every possible knowledge of basic programming language as python is a popular general-purpose programming language used by both small and large-scale Applications. Due to its large standard of libraries such as Pandas, Numpy, Matplotlib, Python is adopted by a huge number of large-scale applications. 

The Wiley Certified - Python Programmer online course encourages students to learn about various libraries of python which have easy readability & multiple paradigm support including functional, procedural, and object-oriented programming styles, the libraries consist of various types of built-in modules which help in different types of data input and output operations with a wide range of functionalities in the modules available in python libraries.

Object-oriented Programming in Python: Create Your Own Adventure Game certification is a course by Raspberry Pi Foundation, National Centre for Computing Education, and also a valid certificate is given by FutureLearn. This course is based on the data, and objects, and not actions, and logic so that the learners can pass on their learnings to other coders by collaborating with them.

Object-oriented Programming in Python: Create Your Own Adventure Game certification syllabus will prove to be beneficial if candidates are educators so that educators can develop their ideas so that they can use programming languages that are object-oriented in their classrooms. 

Object-oriented Programming in Python: Create Your Own Adventure Game training will help in developing the candidate’s own adventure game which is based on texts, in Python Programming. This online course is a simple and informative course that is made with different kinds of short videos, audio assessments, and practical activities.

Also Read:
How To Start Your Career In Games Development
Game Development Mobile Ar Vr Unity

Programming 101: An Introduction to Python for Educators certification is guided by National Centre for Computing Education, Raspberry Pi Foundation, and it has a tie-up with the FutureLearn platform to teach the applicants. In this course, python is basically taught as an introductory course for the educators who with the support of Google can code their first-ever program. 

The course is a monthly course that has modules divided into weekly studies for a period of 4 weeks. Programming 101: An Introduction to Python for Educators certification syllabus will be teaching the students about Python Programming, its basics, how one can understand Python syntax in its basic form, and deciphering error messages.

With the Programming 101: An Introduction to Python for Educators training, candidates will ultimately learn coding skills with which they can make their first program, and this program will help solve another very simple program. For educators taking this program up will help them reuse the same activities taught via this course in their own lessons for their students.

Artificial Intelligence and Machine Learning for Business is an Open Programme of the prestigious IIM-Ahmedabad. The course aims to introduce several methods from the domains of machine learning and optimization that can be used to make business decisions when the data amount is large. The objectives of the course are as follows:

• It trains the participants on handling both small and large amount of data and perform tasks such as predictive modelling and classification, which is useful in automating business operations decisions using data.
• It trains candidates on using important data analysis and optimization libraries that are available off-the-shelf.
• It offers an insight to candidates on how data-driven ideas are implemented to develop AI-technologies to enhance human potential and solve problems using machines.

In this digital century, every organisation, institution, firm or corporation stores all their data on systems which stand very vulnerable to Cyber-attacks like Phishing and Malware. This is where Cybersecurity comes in.

Its job is to safeguard all the important data as well as the organisation’s electronic assets like software and hardware and their reputation online. It is absolutely necessary for institutions all over the globe to shield their features, secrets and specifics from all cyberattacks and potential malice and to render all threats over the internet neutral.

The experts over at Master Certificate in Cyber Security Course course programme offered by Jigsaw Academy has designed an excellent study course consisting of brilliant frameworks and state of the art technologies to teach students not only how to neutralize live security threats but also the mindset of a hacker, to become able to predict and protect the company from many possible assaults of the future.

The Machine Learning using Python online course is a study of computer algorithms and a part of the applications of artificial intelligence, offered by the online education provider ‘Edu Plus now’ in partnership with the Indian Statistical Institute in Pune. This twelve days course is scheduled on the weekends for interested students.

The course curriculum is focused on the detailed aspects of the statistical principles and theories, the nuances of the programming language Python along with the concepts and ideas of machine learning. The learners in this program will be allowed to explore the methods and process of building algorithms with the help of supervised and unsupervised learning, regression mechanics, classification strategies, and the modeling of time series utilizing the software tool Python. The students will get an opportunity to work with several technical projects of the real world for skill development and implement the theoretical knowledge gained into practical applications.

The Data Analytics and Machine Learning with Python course is a short term weekend course, which is being organized by the Vinod Gupta School of Management at the Indian Institute of Technology Kharagpur. With the help of this Data Analytics and Machine Learning with Python course, the participants will learn about python programming. The program is designed to develop data analysts and entry-level data scientists, with an emphasis on the managerial applications of analytics. With the spanning duration of 22 days, this Data Analytics and Machine Learning with Python course comprises of 30 hours interactive training led by esteemed IIT Kharagpur faculty and industry experts

Python programming and data science are highly valuable and in-demand skills. Top companies use Data Science and analysis to interpret data and make critical business decisions. Python Basics for Data Science by edX will delve into data science using Python. As this is a beginner-level course, you will learn about Python language from scratch and do not have to be a programmer.

The Python Basics for Data Science certification is a free programme that falls under the Data Analysis and Statistics category and will run for five weeks. It will enable you to learn at your own schedule and pace through video content. By the end of the training course, you will be adept at using Python language to create data science projects and be ready to collaborate with Data scientists. 

Enrol in the edX Python Basics for Data Science programme and gain basic knowledge of machine learning, programming, and data visualisation. You can also earn a sharable verified course certificate after completing the course if you took the course in the verified track by paying the fee. In the free track, you can audit the programme for a limited duration. 

Introduction to Data Science in Python is an online certification programme provided by the University of Michigan and available on Coursera which is one of the five specializations of Data Science. Thus, this course must be pursued prior to the other course in the specialisation i.e Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, and  Applied Social Network Analysis in Python. Learners will be able to study data science in Python in greater depth with the tutelage of experienced instructors. 

Introduction to Data Science in Python Certification, accessible on the platform of Coursera, will expose the candidates to basic techniques of Python programming such as lambdas, reading the CSV files, and the NumPy library and python programming environment. By enrolling in the Introduction to Data Science in Python Online Course, the learner will develop the capacity to deal with tabular data and manipulate it along with running the fundamental inferential statistical analyses. 

Introduction to Data Science in Python Certification by Coursera will shed light on data manipulation, and the process of using the group by and pivot tables in an effective fashion. Introduction to Data Science in Python Certification Syllabus will help the students explore the cleaning techniques using the popular python pandas data science library and usage of the Series and DataFrame for data analysis and many more. 

The Trees and Graphs: Basics online course is a study of the algorithms and data structures associated with trees and graphs such as tree data structures, binary search trees, self-balancing trees, graph data structures with some fundamental traversal algorithms on graphs. The online program is provided by the online educational platform Coursera and the course curriculum is offered by the University of Colorado Boulder. The course consists of 10 hours of course content that is scheduled for three weeks. The educator for this online training is associate professor Sriram Sankaranarayanan from the University of Colorado Boulder. 

The Trees and Graphs: Basics is part of the ‘Data Science Foundations: Data Structures and Algorithms Specialization’ and the Master of Science in Data Science(MS-DS) degree hence this online course can be taken for the MS-DS degree. This advanced-level program enables the students to utilize flexible deadlines for convenience to complete the course and a shareable course certificate after course completion.

The  Learn to Program: Crafting Quality Code programme by Coursera is a well-crafted course that focuses on teaching the skill for writing quality code every single time. Quality is a code that will run efficiently and correctly. The learners of the course will be taught to design the program, validate and code it too. The course further elaborates on how they can compare two or more programs that address a similar task. A simple and easy to understand programme that will help candidates upskill themselves for the future needs of programming.

The course will cover key features, responsible for the writing and execution of an efficient code. It will help develop an insight into the palindrome algorithms and using it to solve various problems in the programming domain. It will guide learners to apply logic and solve the most complicated issues in program writing and utilizing simple tools to solve them.

The course requires all the candidates to work on assignments throughout the course, these assignments will give hands-on experience to learners and will be essential in learning to use the concepts of this course and its applications. The Learn to Program: Crafting Quality Code course is an intermediate level course that is taught by specialists from the industry.

Global Warming II: Create Your Own Models in Python Certification Course is an elaborate depiction of all the concepts surrounding the application of Python programming for conducting an in-depth analysis of Global Warming. It provides an opportunity for candidates to work on different Python programming exercises wherein they shall explore how numerical modelling is put to use in studying climate sciences and the Earth system.

The successor course to Global Warming I: The Science and Modeling of Climate Change has been crafted for beginners in Python programming and thus provides significant knowledge of the same. During the course lectures, learners will discover easy ways to grasp the intermediate knowledge of Python syntax. This course also provides mid-course quizzes and readings to ensure that extra amount of knowledge which would benefit the students in their learning.

The course has been designed by experts from the University of Chicago under the ambit of Environmental Science and Sustainability under a further broad ambit of Physical Science and Engineering. The university has been known for imbibing new ways of thinking among its learners and thus offers them a lucid practical and conceptual experience of sparking a change in the world with the learnings.

The AI Capstone Project with Deep Learning certification course provides an advanced level of training to all its participants. The programme is within the reach of the students at no cost as it can be accessed for free in the audit mode. The course is made accessible to every aspirant through the platform Coursera. Students who enrol for this hundred per cent online training will be able to gain a deep understanding of AI. 

The course revolves around the topics of preprocessing data, building a model, validity of a model, etc. The programme is a part of a course named IBM AI Engineering that is also a Coursera programme and is in association with IBM. The curriculum of the AI Capstone Project with Deep Learning online course is managed by two industry experts that will help the students understand the concepts. 

The course material of the subject also provides hands-on experience through projects. Along with the projects, it includes quizzes, assignments, practises exercises, etc. The course does not have any restrictions with respect to admission eligibility criteria, deadlines, or attendance. The content of the AI Capstone Project with the Deep Learning certification syllabus is divided into 3 weeks and can be completely finished in around 5 hours. If the student is able to complete the course in the fixed time he or she will be able to achieve a certificate at the end of the programme.

The Integrating Test-Driven Development into Your Workflow certification course is offered by Learn Quest and is available on the platform of Coursera. The course revolves around the topic of test-driven development methodologies. The course topics include refactoring of legacy codes, exception handling in Python, continuous delivery and deployment, continuous integration, and aspects related to these topics. The Integrating Test-Driven Development into Your Workflow certification syllabus requires around 15 hours to complete all the videos, readings, and practice exercises included in the programme. The programme has flexible deadlines and is meant for self-paced learning that includes no restrictions regarding any specific professional or academic experience. The subtitles of the videos are available in the English language. Upon completing this intermediate-level online course, the applicant will receive a professional certificate that will help them achieve greater heights.

The Test-Driven Development Overview certification course is offered online by Coursera in association with Learn Quest. The programme covers the topics of TDD or test-driven development, what is it, where it needs to be applied, and how it should be applied, etc. The course is a self-paced programme that allows students to pursue the course on their own terms and conditions. Since the Test-Driven Development Overview online course includes Python programming, it demands that students have a basic understanding of the same. 

The programme includes study materials within the course, such as video sessions, readings, practice papers, quizzes, and assessments, etc. The Test-Driven Development can be completed in around 14 hours. The programme also offers certification upon completing the course by the students if they have subscribed to the course.   

The Python Project for Data Engineering certification course, developed by IBM Skills Network and taught by Ramesh Sannareddy, a subject matter expert in data engineering, and Joseph Santarcangelo, a Ph.D., data scientist at IBM, is made available by Coursera, which is intended for participants who want to evaluate their expertise by using web scraping and extracting data with APIs, all with the help of numerous hands-on experiments.

Python Project for Data Engineering online classes provides 9 hours of prerecorded learning materials with an emphasis on assisting participants in obtaining the knowledge necessary to apply fundamental Python abilities by utilizing various data collection and data processing strategies. The Python Project for Data Engineering online course covers subjects such as Watson Studio, Jupyter notebooks, and API functions as well as demonstrates how to extract data from various file formats, change it into particular datatypes, and then load it into a particular source for analysis.