List of Online Courses and Certifications

Through the Edureka Python Spark Certification Training using PySpark, you will develop an extensive understanding of Python. In addition, the certification training course familiarizes you with the fundamentals of Hadoop and Big Data.

The Python Spark Certification using PySpark certification course primarily prepares you for the CCA Spark and Hadoop Developer Exam; you will gain core skills and knowledge of Spark and the Spark Ecosystem. The course curriculum also covers Spark SQL and Spark Resilient Distributed Datasets for streamlined processing. 

Moreover, the programme touches down at Flume, Spark Streaming, Kafka, and other Spark Ecosystem components. With the accessibility of Edureka Cloud Lab, you can look forward to gaining practical experience in the field. 

In fact, the course curriculum is crafted by industry professionals to ensure the certification exam training is in-line with the latest trends and industry use cases. When you complete the Python Spark Certification Training using PySpark programme satisfactorily, Edureka will certify you as an Apache Spark and Scala Developer using Python.

Offered by the University of Michigan, the Using Python to Access Web Data Programme is conducted by Coursera. Coursera is one of the premium skill-based training and learning academies which enables professionals to seek and specialise courses that will aid them in gaining professional competitiveness and edge over other professionals.  Specially curated by experts from the industry, Using Python to Access Web Data Programme is an ideal programme to learn the basics of Python as well as implement it in real-life scenarios. The skills that the candidates will master are Python 3, Web Scraping, XML, JSON and others. 

This certification is a 7-day free trial programme. Thereafter if the candidate is willing to continue then one can do so by paying a nominal amount per month. The programme will also cover Json, HTML and XML data formats in Python. In addition to this, candidates will get a digital or electronic certificate as well as post completion of the course. 

Offered by IBM, the Data Analysis with Python Programme certification course is a certification programme which is conducted by one of the leading and pioneering skill-based training academy namely, Coursera. By undertaking this programme, the candidate will specialise and learn the art of analysing the data with the help of Python. During the course, the candidates will be able to master and gain knowledge on different skills namely, Data Analysis, Model Selection, Data Visualization, Python Programming and Predictive Modelling. 

The candidates will seek a detailed understanding about skills used in data analysis namely, Scipy, Numpy and Pandas libraries. This programme being a 100% online programme will give ease and convenience for professionals to pursue it. A shareable certificate will also be given in the end post successfully completing the programme. This certificate can be easily viewed, printed and shared on LinkedIn as well. Moreover, this programme Data Analysis with Python training  will act as a foundation or basis for professionals to pursue different programmes post completion of this one. 

The Machine Learning with Python certification course offered by IBM is a comprehensive program designed to introduce learners to the basics of machine learning using the Python programming language. Machine Learning with Python programme offered by IBM is the 13 hours (approx.) duration certification course having 6 moudules in total where students can learn on their own pace.

The Machine Learning with Python  certification course, offered by IBM via Coursera, is the intermediate level programme where students will learn classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN.  Machine Learning with Python certification course offered by IBM helps the students to learn new concepts from industry experts and develop job-relevant skills with hands-on projects along with shareable career certificate from IBM.

The course Competitive Programmer's Core Skills offered by Coursera is collaborated with Saint Petersburg University to offer the basic programming skills on any type of platform. For aspirants who are looking for coding practice online and to get hired as a programme developer, the programme helps them to a large extent. Learners are made to learn the skills that are required to capture programme logic efficiently. Thereby learners can learn programming easily in the desired platform at the end of completion of the course.

In the engaging software environment, everyone is interlinked with software and development and even for any updates, there is a vast use of programming in an organization or at any other place. Here the course comes into a need with all the basics of programming aspirants can learn for new developments. Thereby every organization looks for programme developers and programming testers to work with errorless results. Programming has made new developments in technology and it is an endless process

For candidates looking forward to making a successful career in the big data industry, this certificate course on Big Data Essentials: HDFS, MapReduce and Spark RDD is the best way to get started. This course gives you new tools and reading materials to direct you in the right direction. Technologies like MapReduce, HDFS and Spark are all covered in this certificate by Coursera. The 6 course is of 6 weeks and helps candidates learn the basics of technologies in the Big Data field. It guides you throughout the system internals as well as its applications in the real world.

Candidates can expect to learn about the distributed file system, the reason for their existence and their functions. This course will guide candidates to build a stronger understanding of the big data technology and concepts to better utilize them in their work. The programme focuses on developing skills in learners to learn and use these tools in creating a solution for social networks, finance, telecommunications and other fields.

The Big Data Essentials: HDFS, MapReduce and Spark RDD programme offer relevant assignments that impart practical knowledge and experience to solve the most pressing problems in the field of big data. It presents an opportunity to evaluate the assignments of candidates on a real cluster.

Data Processing Using Python certification course has been mainly designed for non-computer significance. The course commences with fundamental principles of Python. The candidates would learn to obtain data in Python locally and from the chain, to learn to introduce information, how to regulate data, how to create fundamentals and advanced statistical inspection and anticipate data. They would also learn to design an easy GUI to process and introduce data, enhancing level by level.  

This Data Processing with Python training is based upon the Finance data and establishment of case studies which would empower the candidates to understand the coherence, grace, and durability of Python. The programme will also describe the ability, efficiency, and convenient data processing scope of Python in social sciences and humanities apart from the business field. The course has been updated recently, from Python 2. x the course has started focusing on Python 3. x. Web API is included for parsing and fetching. The modules are available in Chinese but English subtitles are also provided. 

Computing in Python II: Control Structures by edX tries to go deep into the programming world. It tries to build on the existing knowledge of operators and variables. This is neatly organized into five sections. The learners will be able to write complex programmes in Python and get Computing in Python II: Control Structures certification benefits. This certification syllabus ensures faster and more complex computing in Python ability for the learners.

The course by edX is distributed evenly in several parts. The course proceeds in short video lectures. It will have tests such as multiple choice questions and problems in coding. Computing in Python II: Control Structures certification course is a self-paced online programme. It is an introductory-level course. It offers 90% financial assistance to those learners who earn a low income annually. 

The verified learners will benefit from a verified Computing in Python II: Control Structures certificate. The Certificate of Computing in Python II: Control Structures training will have the logo of The Georgia Institute of Technology. The candidates will be learning the course either in the verified mode or the audit mode. The audit track supports course material viewing only for a limited time and the verified track mode supports unlimited course material viewing.

Computing in Python III: Data Structures training will allow the students to learn about the complex ways that are included in files, data, dictionaries and lists for building and structuring programmes. The five-week programme will deal with - loops, conditionals, and functions by learning the basics of Python programming. After Computing in Python III: Data Structures comes to an end the candidates will be able to solve strong and complex programme statements. The programme comprises several parts that will be delivered with the help of short video lectures. 

The Computing in Python III: Data Structures certification by edX has included the listed topics like- lists, strings, output and inputs in its curriculum. The programme will allow the applicants to work on real-world problems. The students will be able to grade applications that will be tracked and upgrade the average score of an individual over time. The students will also be solving multiple-choice questions in the Computing in Python III: Data Structures certification course. The candidates can learn the course in a self-paced mode both during the audit or verified tracks. There are two main differences between the two tracks. The candidates will be getting unlimited time to learn the course with some money during the verified track. In the audit mode, the candidates will only have limited access to the course material free of cost without the chance to secure a certification.

The Computing in Python I: Fundamentals and Procedural Programming certification course by edX is the beginning course for the candidates who are new to this programming language. It covers the basics of the processes involved in the process of compiling and debugging the code such as how a computer interprets a line of code, and how to write, run and take the output of the code. 

Computing in Python I: Fundamentals and Procedural Programming online course will train the candidates to write small programs in Python that use concepts like logical and mathematical operators. Gradually, the students will learn to program for complex problems. The Python course makes the candidates practice and solve more coding problems.

Computing in Python I: Fundamentals and Procedural Programming training consists of both audit and verified tracks. The audit track is free for the candidates to learn completely. The certification is provided only to the verified track students. The certificate awarded is verified by the student’s identification. This course is shareable and has the logo of Georgia Tech and the instructors’ signature. The candidates will be learning in a self-paced mode with limited access during the audit mode and during the verified mode, the candidates will get unlimited access.

Machine Learning with Python: A Practical Introduction Certification Course will explore many popular and modern algorithms including Classification, Regression, Clustering, and models such as Train Split, Root Mean Squared Error (RMSE). Also, students will look and learn from genuine and authentic examples of machine learning and see how it affects society in ways you may not have speculated. 

Machine learning from the past few years has become an integral part of many commercial applications, software and research projects, yet this field is not exclusive to huge companies and organizations with extensive research teams. If you start to use Python language, even as a beginner, this short-term course will teach you practical ways to write and build your own machine learning solutions and machine learning applications are limited only by your imagination.

The Machine Learning with Python: A Practical Introduction Classes will be useful for the students to create products that parse, reduce, simplify and categorize computer data, and then extract actionable intelligence from that data. Machine Learning with Python: A Practical Introduction Certification Course is offered by EdX in association with IBM. There are two options for pursuing the self-paced programme; verified and free. In the verified mode, the learners can take the self-paced course by paying the fee and get unlimited access and in the free mode, they can audit it for a limited duration. 

Analyzing Data with Python certification course is designed by IBM and taught by Joseph Santarcangelo - PhD., Data Scientist at IBM, which is delivered by edX, which is targeted at the students looking for a comprehensive learning environment that could assist in their mastery of the concepts and methods required to develop the skills necessary for analyzing data with the Python programming language. Students who are interested in enrolling in the Analyzing Data with Python online classes by IBM and edX should be familiar with the fundamentals of programming in Python.

Analyzing Data with Python online training is a 5-week learning program that includes approximately 2-4 hours of extensive video-based materials that cover topics such as data loading, data manipulation, data preparation, data cleaning, linear regression, data visualization, ridge regression, polynomial regression, and machine learning models. Students who successfully finish the verified version of this program will also receive a skill badge that validates their knowledge and skills. This self-paced programme free course and they learners can upgrade it to the verified mode and get certification by paying the course fee. 

Edureka's Artificial Intelligence Certification Course guides a candidate step by step to nlp and text analytics using python's programming language. Anyone working with text and data and little knowledge of python programming language can take up this course. However, they provide a complimentary course to brush up skills on python programming.

Nlp is a form of artificial intelligence which has a great significance on the way humans and computers interact. This course has a lot of practical situations where candidates can apply what they have learnt. Topics such as text processing, semantics analysis, machine learning and other such topics have been discussed.

Their syllabus is designed in such a manner that they take a candidate through all the important concepts which are required while applying the learning of nlp. It discusses real life problems, and after this course one can build their own machine learning model for text classification.

A 5-weeks online programme, the Hurricane Tracking with Satellite Data course is developed to impart students with comprehensive knowledge about how they can analyse satellite data related to hurricanes and predict hurricanes’ paths to minimise the damage caused by them. 

Satellite-enabled data allows us to monitor, track and observe hurricanes from a secure distance. You will be gaining insights on how these datasets can be explored to derive descriptive stats. With the help of Hurricane Tracking with Satellite Data online programme, you will understand the important ideas of data science imperative to analyse, process, and finally interpret the large sets of data. 

Utilizing the tracking data made possible by satellites, you will see how predicting the paths of hurricanes is crucial in administrating, evacuations, and relief efforts to save countless lives that are endangered by these natural disasters.

The Hurricane Tracking with Satellite Data course by FutureLearn uses practical case studies and tutorials for enabling you to extract vital information from the satellite datasets.

Python for Data Science, AI & Development Certification by Coursera will guide candidates through the basics and technical aspects of one of the most popular programming languages which is taught widely in educational institutions due to its relevance in the industry. This course is a perfect start for learning Python for data science and programming in general. It adopts a beginner-friendly pace so anyone willing to know about Python as a programming language can take up the course.

Python for Data Science, AI & Development Certification Syllabus has been designed to train individuals with zero knowledge of programming to master Python in a matter of a few hours. Throughout the course, candidates will learn numerous things like Python fundamentals and data structures and analysis, supported by rich hands-on exercises within the course modules and additional reading material to polish their learnings from the lectures.

By the end of this course, learners will be adept in creating basic programs, solving real-world problems in Python and working with data. This course is well-suited as a free online learning programme for more advanced learning as well wherein professionals with tight schedules can pursue the course at their own pace.

The online certification course on Automating Real-World Tasks with Python by Coursera has been developed by Google in accordance with Coursera is a 100% online course that has the level fixed as a beginner. While availing of the session the students will get to be trained by the professionals and experts of Python language. 

In the Automating Real-World Tasks with Python certification syllabus the students will be covering the topics of-  Data Serialization, Data Serialization Formats, More About JSON1, Useful Operations for Python Requests, Sending the Email Through an SMTP Server, Adding Graphics to our PDFs1, Adding Tables to our PDFs, Introduction to Generating PDFs, Project Problem Statement and others. 

By devoting a time period of 16 hours the course can be easily completed by the students. After completing the course the students will learn to use the Application Programming Interfaces (APIs) to interact with web services.

The Applied Data Science Capstone course is a great course to understand the working life of a data scientist through hands-on and practical training. You will be exposed to a host of processes and applications such as learning about location data and data providers like Foursquare and making RESTful API calls to retrieve data from Foursquare API. 

If you do not have access to readily available data, the Applied Data Science Capstone online course will teach you how to scrape web data and parse HTML code. You will be able to refine your exploring and data analysing skills using Python and its panda libraries. Finally, to communicate your results and findings, you will use the Folium library and access maps of geospatial data.  

Applied Data Science Capstone certification can be audited for free. The course is offered by IBM and will be taught by Alex Aklson. The course also provides certification and financial support if you cannot pay the programme fee. 

The Data Visualisation with Python course, offered by IBM via Coursera, is designed to teach learners how to use Python for creating compelling data visualisations. This course focusses on various Python libraries and tools that are essential for data visualisation, making it suitable for those who want to enhance their data analysis skills. Data Visualisation with Python certification course, offered by IBM has total duration of 20 hours and learners can complete the Data Visualisation with Python certification course at their own pace. 

Students will learn the implementation of data visualisation techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story along with generating interactive dashboards, creating different types of charts and others, during the completion of Data Visualisation with Python course, offered by IBM via Coursera. A sharable certificate will be provided. Data Visualisation with Python certification course is available in English and 22 other languages with 11 quizzess and one assignment.

The Crash Course on Python certification is based on an online teaching method and provides a free of cost programme to learn from. Participants who enroll in the online training will acquire information regarding programming, its features and benefits, and program writing with the help of Python. 

The Crash Course on Python certification is designed for beginner level students and lays the foundation for writing programs by Google in participation with Coursera. The course does not require any degree or experience in order to be able to pursue the programme. The online programme allows the candidates to learn from the course on their own schedules and requirements. The content of the Crash Course on the Python certification syllabus is divided into five weeks, and approximate 20 hours to learn from the course successfully. 

The program can be accessed in English, however, there are subtitles that are available in eight different languages - French, Spanish, Portuguese (European), Vietnamese, Russian., and more. The course will be mentored by the instructors who are industry experts and professionals. By the time the Crash Course on Python training course comes to an end, learners will be able to acquire a certificate at the end of the program by following the required procedure.

The Deep Learning on Azure with Python certification course is a five-week-long online programme designed to help you develop the critical skills required of a Machine Learning Engineer. You will understand the intricate workings of Deep Learning during this programme. You will also know about the Data Science skills needed to build Machine Learning (ML) models.

Throughout the Deep Learning on Azure with Python online programme offered by FutureLearn, you will explore how ML enables you to build complex systems. Also, you will know about its broad spectrum of applications, including medical diagnosis, self-driving cars, etc.

For building ML models during FutureLearn’s Deep Learning on Azure with Python online course, you will use Microsoft Cognitive Services on the MS Azure cloud platform. Python programming shall be used for this purpose. You will get hands-on experience and a thorough introduction to the field of Machine Learning with practical examples. Moreover, by obtaining the course certificate, you can prove to your future employers that you are job-ready and skilled in this field. 

The Certificate Program in Python for Data Science training is a comprehensive programme to help you familiarise and master the most important language for machine learning and data science– Python. The course curriculum features all the necessary lessons to help you understand the key concepts of Python, such as its basics, syntax, functions, data structures, linear algebra features, plotting, predictors, and many more. 

The Certificate Program in Python for Data Science by Eruditus also focuses on preparing you to be an enhanced professional of the object-oriented language. Hence, the course will also help you understand and implement powerful packages of Python, such as Matplotlib, SciPy, Pandas, and more. These will help you get in-depth knowledge on how Python packages are used to manipulate data, create predictive and insightful models, and their applications in data science. 

Moreover, the Python for Data Science Certificate Program also provides hands-on assignments where you will implement Python’s packages and tools to get real-time industry experience. Upon completion, you will be awarded the Python for Data Science certification, conducted by IIT Bombay. 

The Python Functions, Files, and Dictionaries certification course by Coursera introduces user-defined functions and the dictionary data structure. In the curriculum, you will learn about global and local variables, optional and keyword parameter-passing, lambda expressions, named functions, and Python’s sorting function as well. You will also learn how to pass in another function as an input, to control the sorting order. 

The course also includes a final project, where you will have to read social media data from a file, write out .csv files, and compute sentiment scores. The course covers chapters 10 to 16 of the ‘Fundamentals of Python Programming’ textbook, which is available for free as the programme’s accompanying text.

Suppose you have already taken up the Python Basics course, and want to expand your knowledge of Python. In that case, the Python Functions, Files, and Dictionaries training is ideal for you. Both these courses are geared towards new students of Python programming. Those who have had some exposure to Python, need a refresher, or wish to dive deeper into it, will also get benefitted from this course.

Bioinformatics is one of the fastest developing industries in today’s world and has already secured an excellent position in the medical field. Its uses and functions have spanned into many fields including forensic science, medicine manufacturing, and now even the strings of our lives, DNA.

For people who wish to make something for themselves in the medical field, a certificate of Bioinformatics from a renowned program will go a long way in ensuring their goal. That’s where Finding Hidden Messages in DNA (Bioinformatics I) by Coursera comes in. 

In this course, a part of a specialisation programme on Bioinformatics will teach the candidates all the basics of computing knowledge and skills in DNA domain, starting with DNA Replication and going forward to circadian rhythm and much more. The course will work majestically for the candidates as it gives them the much required boost, they need to surpass their huge 21st century competition.

The Developing AI Applications on Azure certification by Coursera will equip users to create and work on an Azure Machine Learning Workspace, all to create their models and test run them on the cloud. 

The learners delve into algorithms, types of machine learning. They’ll learn the practical applications of Python for machine learning solutions, as well as certain scientific ecosystem packages which will help you implement machine learning. Along with standardized approaches to data analytic, they’ll learn Microsoft's Team Data Science Approach. 

Another perk of the Developing AI Applications on Azure certification course is that the learners will familiarize themselves with pre-trained and managed machine learning which is offered as REST API's in their suite of cognitive services. Other concepts include facial recognition API, sentiment analysis with the natural language service, implementation of solutions via the computer vision API. 

Created by Learnquest and available on Coursera, the Developing AI Applications on Azure certification course will take the learners through Artificial Intelligence, Machine learning, Data Analytics, Python programming, etc. Hands-on exercises will polish the AI skills of candidates and also equip them to deploy their machine learning models.

Coursera is offering a programme namely Using Databases with Python with collaboration with the University of Michigan. The course can be enrolled for free and has a future for databases with Python. Therefore, candidates enrolling in this programme can prosper their career in this field with enhancement to the modern world and technology. With a large amount of data to store in a secured manner, this programme comes as a rescue to help professionals and students as well. 

With a large number of technical enhancements in the engaging world, everyone is looking for storing data that is too secure so that the data can be only accessed by certain members. Data stored in the database can be accessed by only a particular language called SQL (Structured query language) with that type of query language the data in the database will be accessed by particular authorization only. 

The course is offered by Coursera for free so that course materials and assignments can be accessed free of cost. Coursera strives to give the student the best type of learning experience so that they can increase their growth career in their desired field.

This program on ‘Full Stack Applied AI Course’ is developed and designed by the data science institute for the candidates to transform into python professionals with AI and ML skills. The program is scheduled for four hundred hours and the candidates will be required to attend a total number of fifty classes in which they are allowed to explore the features of deep learning, machine learning, and data science within the scope of applied artificial intelligence to meet the business needs.

The learners will get hands-on experience with the software tools such as Python and other data science aspects. The ‘Full Stacked Applied AI online course’ curriculum is application-based and includes data extraction, wrangling statistical frameworks, supervised and unsupervised machine learning strategies that are required for various applications of AI. The assignments, case studies, projects, and evaluation helps the students upskill themselves with experimental industrial insights and gain a valuable certification.

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 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.

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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.