Online IT Software Courses & Certifications

The Data Science for All online course is developed under NIT Patna's joint online faculty development programme. Expert professors in the country are responsible for planning and organising the curriculum. The programme's curriculum is rather advanced so that applicants can learn better and develop themselves. In order to make them stronger, the Electronics & Information and Communication Technology Academy (E&ICT) of NIT Patna are conducting the Data Science for All class programme for faculty, PhD researchers and others.

7 academies of Electronics & Information and Communication Technology (E&ICT) were founded by the Ministry of Electronics and Information Technology of the Government of India. Data Science for All certification course of NIT Patna intends to construct and integrate basic and advanced training programmes in the speciality areas of electronics and ICT in order to enhance the skills, knowledge base and necessary resources to augment the teaching society with greater knowledge.

There are 18 NITs established by MHRD, the Government of India. The institute has always offered its students with high academic excellence. Participation in NIT Patna's Data Science for All programme will prove useful to all candidates.

With the Data Science for All by PDPM IIITDM Jabalpur, learn all about data science. The training starts with focusing on the mathematical foundations of data sciences. Here, you explore vectors, matrices, matrix decomposition, vector spaces, singular value decomposition, probability basics, statistical measures, variance, density function, Markov Chains, and conditional probability.

The Data Science for All course syllabus also dives deep into data processing, covering concepts like dimensionality reduction and principal component analysis. The curriculum devotes a section to familiarise you with the fundamentals of machine learning. Here, you develop a good understanding of classification – decision trees, regression, Naïve Bayesian Classifier, handling large datasets: MapReduce, and clustering.

Besides, the Data Science for All certificate programme ensures that you master industry-relevant concepts, including deep learning, data wrangling, programming the normal Python, data visualisation, NumPy, Matplotlib, and Pandas. You even get to practice on ML topics such as Keras and TensorFlow, and Scikit.

Moreover, the Data Science for All training is being offered online through live web conferencing. The course presents 3 credits equivalent to 35-40 hours and comprises hands-on learning, theory lectures, assignments, activity-linked problems, case studies, quizzes, problem-solving sessions, and more.

Acquiring Data certification course is developed by Accenture and is delivered by FutureSkills Prime which is developed for candidates who are involved in the data field and want to enhance their knowledge of various data processing procedures and technologies. Acquiring Data online classes by FutureSKills Prime introduced the candidates to the basic concepts of data and big data terminologies and frameworks required for data science.

Acquiring Data online course is a part of FutureSkils' AI ascend program, which is aimed at data enthusiasts who wish to become professional data scientists. This course uses Python and Jupyter to familiarise applicants with big data, metadata, and data validation concepts. The program also covers subjects such as DataFrame from the Python, Pandas package, which will serve as building blocks for advanced Artificial Intelligence topics.

The Data Science programme by Digital Vidya has been created and curated by industry experts having years of experience. The curriculum has been vetted by over 2800 enterprises to be made industry-compliant. Besides, the Data Science training course will help you take that crucial step in becoming a Data Scientist. 

You will receive instructions about variables, data types, and all the various operators—logical, arithmetic, and comparison—to come to terms with the language of Python. Additionally, you will also learn about Data Manipulation techniques using the Pandas library, along with the required skills for Regression Analysis, Decision Trees and Forests, and Statistics.  

You will be required to solve the Capstone Projects in the Digital Vidya Data Science course. As a result, you will increase your industry knowledge in the niches of Natural Language, Deep Learning, Bank Management, and Healthcare Analysis. 

Furthermore, you will be eligible to receive two certifications—one from Digital Vidya, and the other from NASSCOM. The former will be available after you complete all of the assignments and at least one Capstone Project. Upon completing the Data Science Programme successfully, you will get the NASSCOM FutureSkills Certification as well.

Certified Keras Professional by Vskills is about Keras which is a part of data science. Data science is currently a highly demanded skill which all the employers are looking for in a potential employee. Keras is an aspect of data science; it's an open-source library that gives an interface for the artificial neural networks through Python. It is designed for enabling fast experimentation using deep neural networks and focuses on being modular, extensible and user-friendly. You will learn about guiding principles, installation, various models, and pre-processing aspects under Keras. 

After receiving the certificate you will be able to use Keras such as that of a professional. The Certified Keras Professional syllabus has been designed in a way so as to make you stand out from the crowd creating higher chances of you getting employed. This 60 min duration online test gives you an opportunity to attempt the exam without any negative marking, and polish yourselves as professionals. To get a certification from Vskills in this program, the candidates should mandatorily take up the final exam and pass with minimum 50% marks.

For the purpose of data analysis and manipulation, a software library known as Pandas is written for the Python programming languages. It provides operations for manipulating time series and numerical tables as well as data structures.

Graduates and professionals who are interested in excelling in their chosen area of expertise can take up Certified Pandas Professional online course and be a Pandas Professional. However, this certification is also of great relevance to the candidates who are already employed and want further development in their careers. In the highly competitive contemporary world, such a Pandas Professional certification course will help the candidates to be of importance by putting before the industry their advanced skill set, thereby raising the potential of higher salaries. 

To guide the students in the best way we can, experienced faculty support will be provided that will solve all the challenges.

Some popular data science tools used today include JupyterLab, RStudio IDE, Jupyter Notebooks, Git, GitHub, and more. Tools for Data Science by Coursera will introduce you to these data science tools and their features.

The Tools for Data Science certification is a part of a series of certification programmes related to data science and can be applied to different specialisations. Over the period of four weeks, you will learn 18 hours of content in the form of video lessons and will receive extra readings and quizzes. You will have to create a final project at the end of the programme to showcase your skills and proficiency.

The Coursera Tools for Data Science programme is offered by IBM. It is easy to comprehend as it is a beginner-level course with flexible deadlines. You can earn digital badges and a shareable certificate that will help you enhance your resume and can be shared on LinkedIn.

The Data Science Bootcamp Online certification course is a full-time diploma course that is offered by the forum of Brain Station. The Data Science Bootcamp Online classes revolve around the topics of Data science and every concept is taught by the industry experts. The programme does not require the candidate to go through the hassle of any entrance but a simple admission procedure. 

The Data Science Bootcamp Online certification syllabus of the programme is 12 weeks long and can be pursued with the help of study material already available in the programme. The curriculum includes five chapters that cover plenty of other subtopics in the programme. Candidates will get to acquire a certificate upon the completion of the Data Science Bootcamp Online course.

The Graphs and Data Science online course is developed by the education provider platform INSOFE. The course study is about the basic algorithms and computational problems in data science and is scheduled as ten sessions lecture series throughout the programme. The course educator for the graphs and data science online training is Ashwin Ganesan who is a professor at the International School of Engineering(INSOFE), Mumbai. The course instruction allows the students to discover the aspects of coding, mathematics, and data mining in detail.

In this online programme, the learners will be able to explore the domain of computational thinking and data science. The candidates are taught to arrive at solutions using the tools and techniques of computer science and computational strategies. The lectures and three modules provide experiential learning for the students to gain an in-depth understanding of the data science concepts, link structuring, online advertisements, social networking, and algorithms for graph data. 

The Data Science A-Z™: Real-Life Data Science online course is provided by the Udemy online education provider platform. This data science course is a detailed study of the concepts and principles of data science. This course consists of course modules that will take approximately twenty-one hours to complete studying the content. 

The course instructor for this online training is Kirill Eremenko who is a Data Scientist, professionally qualified to provide guidance and understanding of the concepts of data science. 

In this program, the students are provided with opportunities to discuss and get familiar with the data analytics, preparation of the data for presentation and analysis, and the visualization and modeling of data.

The Data Science A-Z™: Real-Life Data Science training program enables the learners to get a practical understanding of the theoretical concepts and data science tools. The students are given the course certificate after completing the program. The course materials can be accessed and learned at any time at the convenience of the students.

The Data Science Course Complete Data Science Bootcamp online course is offered for the learners to acquire the basic skills to become data scientists. The course is provided by the online education platform Udemy as a self-paced learning program with informative videos and articles and resources that aid in grasping concepts. The course is a study about the core aspects of data science and its applications in real-life business.

The course is instructed by the educators from 365 Careers. In this course, the students gain a comprehensive understanding of the field of data science with mathematical skills, statistical skills, and the knowledge of Python, Tableau, advanced statistics, data visualization, deep learning, and machine learning.

The Data Science Course Complete Data Science Bootcamp training program provides the students with a course certificate after completing the program and full-time access to the course. The students are engaged with active learning through the concepts and principles discussed in detail throughout the course.

The Statistics for Data Science and Business Analysis online course is a 5 hours on-demand video course offered by Udemy. The course includes 28 articles that cover a wide range of topics related to business analytics and data science. The course helps students to understand the fundamentals of statistics. 

The Statistics for Data Science and Business Analysis training covers different types of data and provides a basic grasp to the candidates for working with various types of data. The training teaches to plot various types of data and calculate the measure of asymmetry, tendency, variability, covariance, and correlation.

The Statistics for Data Science and Business Analysis syllabus includes a brief introduction of different types of distribution, their differences, and work. The course teaches the basic concept of python, R, and data science as well as making students capable of making data-driven decisions. The course provides dummy variables to understand and carry out regression analysis.

MindMajix Technologies INC. offers the Data Science Course in Hyderabad online certification that is aimed at anyone who wants to master the sophisticated ideas of data science to become certified data scientists and advance in their jobs. The Data Science Course in Hyderabad online course covers Python, R programming, data manipulation, data analytics, statistics, machine learning, and natural language processing.

Data Science Course in Hyderabad online classes by MindMajix Technologies cover all data science principles, from beginner to advanced, as well as best practices in scientific computing, deep learning, artificial intelligence, Keras API, big data, and excel. Students who want to take this course must enroll in one of two ways: self-paced learning lectures or live online classes guided by an expert trainer on Google Meet or Zoom.

Data Science Training Course in Bangalore certification course is offered by MindMajix Technologies INC., which is created to provide the participants with knowledge of the core concepts of data science. Data Science Training Course in Bangalore online classes will teach them everything they need to know about data analytics, business analytics, Naive Bayes, data modeling, machine learning techniques, and much more. 

Data Science Training Course in Bangalore online classes by MindMajix Technologies cover detailed video lectures along with lab training which includes topics such as R programming, predictive analytics, R data structures, data exploration, data visualization, R statistical concepts, cluster analysis, and forecasting. This training also provides enough opportunity to gain practical knowledge of the complex data science topics using real-world projects. 

Data Science, Analytics, and AI for Business & the Real World™ online certification was designed by Rajeev D. Ratan - Data Scientist, Computer Vision Expert, and Electrical Engineer and is offered by Udemy which is designed for individuals who want to attain a solid understanding of how data science, data analytics, and artificial intelligence can benefit a business. Data Science, Analytics, and AI for Business and the Real World™ online course focuses on explaining all the fundamental theory and programming abilities required in a competent data scientist.

Data Science, Analytics & AI for Business & the Real World™ online classes is a practical course that includes over 30 hours of detailed pre-recorded video lectures, as well as 6 papers and three downloadable resources that cover a wide range of real-world business problems faced by data scientists. This course aims to bridge all of the gaps that discourage beginners while also allowing them to apply their data science and deep learning skills to real-world business situations. This training program also covers big data analytics, machine learning, and neural networks, as well as teaches about PySpark, Google Data Studio, Jupyter notebooks, Heroku, and Flask, among other tools and approaches that help individuals with their data analytics.

The Absolute Beginners Guide to Data Science Course is an online course designed exclusively for absolute beginners to learn and explore data science along with all the must-have knowledge and skills of a professional data scientist. The curriculum of  The Absolute Beginners Guide to Data Science Online Course developed by Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight! will help the students to build a strong foundation of mathematics and statistics to make the data science journey easy and simple. 

The Absolute Beginners Guide to Data Science Certification provides the learners with a detailed understanding of Data Visualization, Python Programming, Matrix Algebra, Coordinate geometry,  Calculus, Data distribution, etc. The online course consists of Q&A support, all the skills a data scientist must-have, a certificate of completion, and many more. 

Pianalytix, a Technology learning provider, developed the Data Science Mega-Course: #Build 60-Projects In 60-Days online certification, which is presented by Udemy and is aimed at individuals who wish to expand their abilities in the data science field. The Data Science Mega-Course: #Build60-ProjectsIn60-Days online course by Udemy teaches the core concepts of artificial intelligence, machine learning, deep learning, and natural language processing, among other technologies and topics in data science.

Data Science Mega-Course: #Build {60-Projects In 60-Days} online classes are designed to provide students with a practical understanding of data science principles and methodologies, and this course includes 60 projects that cover a variety of topics, both fundamental and advanced. This course also covers several cloud platforms so that students may design data science projects and deploy them on AWS, Google Cloud, Heroku, IBM Watson, Streamlit cloud, and Azure.

Google Colaboratory is a free, in-browser interactive programming environment that supplies deep learning researchers and engineers with an immersive and simple platform to collaborate on their data science projects. Google Colab allows anyone to compose and run arbitrary Python scripts in the browser, making it ideal for machine learning and data analysis. Minerva Singh - Instructor & Data Scientist developed the Complete PySpark & Google Colab Primer For Data Science certification course, which is available on Udemy.

Complete PySpark & Google Colab Primer For Data Science online training incorporates 4.5 hours of comprehensive lecture accompanied by articles and downloadable resources and is intended for individuals who want to use the capabilities of Google Colab for working with PySpark and Python-based AI modeling. The Complete PySpark & Google Colab Primer For Data Science online course discusses the methodologies involved with data processing, statistical analysis, correlation analysis, statistical modeling, and much more.

An early diabetes diagnosis can result in better management of the condition. The early diagnosis of the disease is frequently accomplished using data mining techniques. The relationship between the various attributes is also described in this research paper, which uses significant attributes to predict diabetes. The School of Disruptive Innovation, a company that develops innovative learning solutions for the digital age, created the Data Science: Hands-on Diabetes Prediction with Pyspark MLlib certification course, which is made available by Udemy.

Data Science: Hands-on Diabetes Prediction with Pyspark MLlib online course is an hour-long program that teaches students all the methods and ideas necessary to create, train, experiment, and assess machine learning models capable of identifying diabetes using logistic regression. Data Science: Hands-on Diabetes Prediction with Pyspark MLlib online classes include a variety of carefully crafted and designed tasks centered around data cleaning, diabetes datasets, logistic regression, performance evaluation, and Spark MLlib.

Pyspark is a big data application that employs the Python programming language for real-time streaming and offers a better and more effective way to perform all types of calculations. PySpark for Data Science - Beginners online certification is developed by Exam Turf - an educational organization that provides competitive exam preparation and test series, which is delivered by Udemy for the candidates who want to master the concepts involved with data science using PySpark to become PySpark developers, and data scientists.

PySpark for Data Science - Beginners online training is a short-term training program that involves 2.5 hours of prerecorded lectures to educate candidates about the fundamental ideas and procedures related to PySpark for data science activities. With PySpark for Data Science - Beginners online course, candidates will be taught about big data, Spark, and Python as well as will be taught about the concept of resilient distributed datasets and other fundamental capabilities and terminologies employed in the particular instance of Spark

The Data Science Bootcamp by Caltech is designed for working professionals providing thorough training in Data Science. This online certification course comprises a blend of theory, case studies and extensive hands-on practise that enables students to master the Data Science concepts and tools. With this Data Science online course, students will be exposed to data structure and data manipulation and the use of linear and non-linear regression models and classification techniques for data analysis. The Data Science Bootcamp syllabus consists of core courses and electives in Business Analytics with Excel, SQL Training, Power BI, and Deep Learning.

The Data Science Bootcamp by Caltech features the superiority of Caltech's academic eminence. This Data Science training programme provides critical Data Science concepts such as R programming, Python programming, Deep Learning, Machine Learning, and Data Visualization tools. Students can attend the Data Science Bootcamp classes through an interactive learning model with live sessions and masterclasses conducted by Caltech faculty and IBM experts.

Data Science Bootcamp online certification is developed by Board Infinity, a digital learning platform for job seekers and learners to help them realize their true potential to meet their career dreams. The Data Science Bootcamp online course by Board Infinity is designed for those who wish to learn the fundamentals of data science to advance their careers as professional data scientists.

Data Science Bootcamp online classes include more than 20 hours of extensive video-based lectures, as well as exercises and projects, which are included in the classes to assist applicants to get a better grasp of topics such as business analytics, and data wrangling, and data visualization. Applicants will have learned how to use tools such as Python, Pandas, Numpooy, Seaborn, SQL, Tableau, Excel, Jupyter, Matplotlib, and others for diverse data science activities by the end of this course.