IBM Data Science Courses & Certifications

Hybrid EPGP in Data Science, Business Analytics, and Big Data in association with IBM certification is an 12 months course that is a curated offering of Aegis School of Business & Telecommunication, and IBM together. This course is considered India’s very first data science programme which is high-end in nature. This is usually delivered at the Centre for Excellence in Telecom Technology and Management (CETTM), in Mumbai during the weekdays, and on Sundays, the classes are conducted online hence the name hybrid. Being such a respectful course, the curriculum offers both a mix of elective, and core courses that no other organization usually offers. 

Hybrid EPGP in Data Science, Business Analytics, and Big Data in association with IBM training helps in necessary skill development for building a very successful career in the field of business analytics, and big data. Students after earning the final certification will develop both technical, and quantitative skills for creating social value, and business in different industries. So, if candidates want to participate in one of India’s leading analytical courses with real exposure to different tools, and software, they can definitely participate. 

Online Executive PGP in Data Science, Business Analytics, and Big Data in association with IBM is a course that is completed along with the internships in a span of 11 months. This certification course is an offering of Aegis in partnership with IBM. The course’s curriculum has been rated as the best data science syllabus when compared to the skills of a data scientist. Again, this course is also a top contender of the top 5 courses in India with respect to business analytics by the Analytics Magazine.

Online Executive PGP in Data Science, Business Analytics, and Big Data in association with IBM training will help lay down the foundations for roles in different domains for a data scientist, or big data advisory, and other consulting roles. Learners will also experience hands-on exposure to tools like Python, R, Machine Learning, SAS, and  Deep Learning. During the internships, the candidates will get to start working on certain live projects like Call drop analysis from teleco, Churn Predication, or NLP projects.

The Post Graduate Program in Data Science is a 10-months certification course designed to teach students the fundamentals of data science. The course enables the students to learn how data science plays a very fundamental role in the technological world. The Post Graduate Program in Data Science is offered by Edology in partnership with IBM, Innovation Centre for Education and University.  

The Post Graduate Program in Data Science training covers projects, case studies where candidates would be provided an opportunity to work on the capstone project and the students will be able to structure their learnings about data science and its essential components. Through this certification course, students would gain hands-on learning expertise and would be able to apply these in a wide range of business dimensions. Students would get a certificate from one of the recognised brands within the business domain, IBM, and would have the advantage to learn and showcase their real-life analytical and technical skills through this course. 

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 seven 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 Tools certification course from IBM provides you with a background on popular data science and data visualisation tools, including RStudio IDE, Jupyter Notebooks, and Watson Studio. Learn about the proper usage of each tool and how data scientists utilise these tools today. You will also get to understand what programming languages the data science tools can execute and what limitations and features they possess. 

The seven-week-long Data Science Tools programme is introductory and belongs to the Data Analysis and Statistics domain. Besides, the tools will be hosted in the cloud, and you will learn to follow instructions and test the tools to run simple code in R or Python. For finishing the training, you will complete a final project on IBM Watson Studio with a Jupyter Notebook on Cloud.

Moreover, you must demonstrate your expertise in writing Markdown, preparing a notebook, and sharing your work with peers. This hands-on Data Science Tools training will familiarise you with some of the most in-use, greatest, and latest data science tools. The course curriculum, divided into six modules, allows you to learn through lab sessions, assignments, graded quizzes, practice exercises, and more.  

Learners may choose any track from the two mentioned ones: audit and verified. These tracks are self-paced and offer limited and unlimited accessor audit and verified tracks respectively.

In the Introduction to Data Science online course, the students will be getting to learn about the importance and applications of data science and the use of algorithms in it. The course has been designed for six weeks. The online programme on Introduction to Data Science training by edX will be digitally hosted and covered by IBM. 

Imparted by data scientists, this programme will require 3 to 6 hours per week of study. This Introduction to Data Science classes program covers a span of topics that will enable candidates to learn about data science, tools, algorithms and other elements utilised in a business scenario. The programme is pursued online wherein the candidates can enrol as per their convenient schedule. 

Since the programme is taught by data practitioners, candidates will gain the opportunity to learn the importance of data science in present times and in times to come. A most sought-after programme, candidates can also take up other associated programmes such as Data Science Foundations, IBM Data Science and Essential Technologies for Business. Candidates will find 2 tracks to enrol into and finish learning the programme. One is the audit track and the other is the verified track. These tracks can be learned based on one's own schedule but the audit track gives limited access whereas the verified track gives unlimited access to the course materials.

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. 

In the online course on SQL for Data Science classes program emphasis is given on the domain of database and real-world application. In the course, the students will be working on the database files, datasets and real data science tools. The SQL for Data Science certification syllabus will be covered within a time frame of four weeks. Industry experts and practitioners will be guiding the students throughout the programme. 

SQL or Structured Query Language programme will enable candidates in learning about using this language in extracting data types and communicating with the database. This SQL for Data Science training course by edX is pursued with an intent to get introduced to the concepts of relational databases as well as learn, pursue and implement the basic knowledge and understanding of SQL language. The candidates will get exposure to practical learning which will make it simple and easy to learn about this language. The programme will require 2 to 4 hours of weekly study. 

Candidates will find 2 tracks to enrol into and finish learning the programme. One is the audit track and the other is the verified track. These tracks can be learned based on one's own schedule but the audit track gives limited access whereas the verified track gives unlimited access to the course materials.

The Fundamentals of Scalable Data Science online course is a beginner level programme that will introduce the students to crucial and fundamental topics of data science. The course talks about the concepts of the subject matter such as Apache spark with the usage of Pyspark and Python, its applications, preprocessing of data, and others. Students can get a preview of the programme and the course can be accessed for free for a period of seven days. The Fundamentals of Scalable Data Science training course is also available in the audit mode as well as in subscription mode. 

Students are free to choose the mode of their course according to their requirements. The course is provided in association with IBM. The Fundamentals of Scalable Data Science certification syllabus of the programme needs to be completed in the meantime of 21 hours. This self-paced learning programme by Coursera allows the user to choose their study schedules according to their comfort. Since this is a beginner level programme, the course does not require the user to have any prerequisites for getting into the course. If the student chooses to get a subscription to the Fundamentals of Scalable Data Science classes course, he or she will be eligible to get a certificate for the course at the end upon the completion of the curriculum.

The Data Science certification course duration is 11 hours (approximately). This programme is a beginner-level course and candidates can learn at their own pace with flexibility. The course focuses on providing the fundamentals of data science and its significance in today's data-driven world. Students will gain advice from data science professionals and data scientists.

The certification programme equips the students with Data Science, Big Data, Machine Learning, Deep Learning and Data Mining skills. The Data Science certification by Coursera a foundational understanding of the subject or tool. They will also learn new concepts and gain hands-on projects. The course is taught in English but is also available in 22 other languages.

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The Data Scientist Career Guide and Interview Preparation certification course duration is 9 hours (approximately). The certification programme is a beginner level course and its instructor is IBM Skills Network Team. The course offers a robust curriculum to the students that covers building a foundation, applying and preparing for the interview and interviewing.

The The participants will gain in-depth knowledge of the role of a data scientist and career paths in the field. The Data Scientist Career Guide and Interview Preparation certification by Coursera offers types of interviews, what to expect and how to prepare for it. The students will gain career development, job preparation and resume building skills.

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The duration of the Data Science Methodology certification course is 6 hours (approximately). The certification programme supports the students to gain a comprehensive knowledge of data science methodology and all other aspects related to it. This course is designed for beginners, allowing students to progress at their own speed and with ease.

The students will gain in-depth knowledge of applying the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyse a case study. The Data Science Methodology certification by Coursera provides Data Science, Data Analysis, CRISP-DM, Methodology, Data Mining skills to the students. They will be able to apply the learned fundamentals in real-world scenarios.

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