Online Data Analytics Courses & Certifications

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.

Foundations: Data, Data, Everywhere Certification by Coursera introduces learners to the domain of data analytics with a hands-on curriculum curated by Google. The course material deals with ample key data analytics topics comprehensively and provides learners with industry-oriented learning through practice exercises, expert training and readings. The course will be delivered by current Google data analysts. 

The mode of instruction and course delivery will offer excellent learning exposure with access to and knowledge of the best tools and resources. Foundations: Data, Data, Everywhere Certification Course can be pursued by anyone without any previous experience. The interested candidates have the leverage of pursuing the course with a flexible schedule and practising what they have learnt by revisiting video modules and resolving quizzes multiple times. The course ensures learners get technical knowledge of tools and understand how to implement the same.

Foundations: Data, Data, Everywhere Certification Syllabus has been designed in a way that candidates can learn about the key analytical skills involved in this domain, including data cleaning, data visualisation and data analysis. It will help them discover certain practical concepts like the data analysis process and data life cycle.

The Fundamentals of TinyML Training Course is an open course provided on the HarvardX platform coordinated by edX and Harvard University. The course will introduce students to the fundamentals of embedded systems and machine learning along with the core aspects of TinyML language.

The Fundamentals of TinyML Certification Syllabus will benefit students who are interested in data analysis and statistics. The course is an introductory level course that requires students to have knowledge about basic scripting techniques in Python. The course is supported by online study materials and instructed by Vijay Janapa Reddi and Laurence Moroney.

The Fundamentals of TinyML Course is taught over 5 weeks in a self-paced manner. The course focuses on the main aspects of deep learning, machine learning, and embedded devices and systems, like smartphones and other devices. Upon the successful completion of the online exams and assignments, students will receive a certificate if they choose the verified mode with the course fee. In the free mode, they can audit it for a limited period. 

The Deploying TinyML Certification Course is an open online course that introduces students to the steps involved in implementing TinyML applications. The course will help students understand the workings of the software along with the right codes required to deploy their tiny microcontroller-based device. It is a specialized course and a mix of computer science and electrical engineering.

The Deploying TinyML Training Course is an intermediate-level course that requires learners to have basic knowledge of the Applications of TinyML and Basic Programming in C/C++. The course taught in a self-paced manner will be beneficial for students who wish to earn a professional certificate in Tiny Machine Learning.

The Deploying TinyML Online Course is taught over 5 weeks with the aid of online course materials. The course is instructed by Vijay Janapa Reddi, Professor at Harvard University and Pete Warden, Technical Lead at Google. After the completion of the online assessment process, students will get access to a certificate in the paid verified mode. In the free audit mode, they can get a limited duration of access to the self-paced course. 

The Intro to Data Analytics certification course is a one-month-long online programme designed to introduce you to the field of data analytics. It will teach you all the essentials with a blend of practice and theory. From day one, you will use your data analytics knowledge in practice. 

Throughout CareerFoundry’s Intro to Data Analytics online programme, you will study the whole data analysis process, from mastering the basics to exhibiting the outcomes of your analysis. Plus, you will get personalised mentorship. Your one-on-one expert tutor will provide you with valuable insights, tailored videos, and written feedback on everything you do.

During the Intro to Data Analytics online course by CareerFoundry, you will learn how data analytics helps businesses better understand their industry and audience. Moreover, you will explore how data is a potent tool to solve business challenges with intelligent solutions. The course, being result-oriented, requires you to deliver a data analysis.

Biological Data Analytics certification is a 35 hours course that is a joint initiative of the Indian Statistical Institute and Edu Plus Now. The curriculum related to genome analysis belonging to this course has been made by a handful of experienced industry experts, and academicians. In this course, next-generation sequencing will be taught that further teaches about the data analytics of molecules forming DNA or RNA.

Next-generation sequencing is pretty important for the learners since they can utilize this biological research that is a requisite for medical diagnosis, forensic biology, biotechnology, virology, and other fields. Biological Data Analytics training will help in getting insights into the data analysis of biological sequences that are in huge demand in companies like data science, and research institutes like pharmaceutical companies. The end certificate is offered based on the performance of the candidates and provided they meet certain system requirements including software tools and operating systems.

The Analyze Data to Answer Questions certification course is about data analysis that aims to impart education regarding the same through various modules. The course is designed as a beginner's level course to provide fundamental and advanced level information. Students who join this course will gain information regarding the organization of data, adjustment of data, aggregation of data, etc. 

The course is available on the platform Coursera in the online mode. The course can also be joined and accessed for free as it offers learnings in the audit mode. The Analyze Data to Answer Questions certification syllabus can be completed in approximately 23 hours. 

The course offers a self-paced mode of learning that allows the user to choose their desired study schedule as per their comfort. The course does not have any prerequisites for admission. The Analyze Data to Answer Questions online course also offers a subscription if students pay the stipulated amount that makes them eligible to get the certificate.

The SQL for Data Analysis online course is four weeks of training conducted by the FutureLearn portal and coordinated by Tableau and Coventry University, U.K. The course will help in developing and applying data analytics skills in a professional career. Through this course, candidates will learn how to use SQL in modifying and grouping data in the database. Also, learners will learn the difference between correlation and causation and reach a proper conclusion for your data. 

The SQL for Data Analysis certification will be directed by Jacques Haasbroek, a certified data analyst and a chartered global management accountant. Candidates who are interested in taking admission must visit the provider’s official website and register for the SQL for Data Analysis training. To get all the details related to this course such as the admission process, fee structure, etc, please go through the article below.

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 Data Analysis and Fundamental Statistics Online course is an integral part of the Data Analytics For Business Training Programme conducted by the FutureLearn portal in partnership with Tableau and supported by Coventry University, U.K. With the help of this course, learners will understand the functions of data analysis and the use of statistical models to grow the business of the organisation. Also, candidates will learn about the benefits of data analytics and how to use Microsoft Excel as a data analysis tool.  

The Data Analysis and Fundamental Statistics Certification syllabus is divided into four weeks in which learners will learn about the basics of data analytics fundamentals and the use of basic statistics. This course will be instructed in English by Jacques Haasbroek, who is a certified data analyst and holder of a chartered global management accountant designation. For admission to the Data Analysis and Fundamental Statistics course, candidates must visit the provider’s official website and register for the course. To get all details related to the course, candidates must go through the article below.

The Excel for Data Analysis certification course is the second installment of the Data Analytics For Business training programme provided by the FutureLearn portal supported by Tableau and Coventry University, U.K. The course will help learners to perform data analysis using Microsoft Excel and manage big data. Candidates will learn to structure data with the help of rows, columns and tables in Microsoft Excel.  This course will help learners to gather knowledge of Excel and use it to organise data of the organisation.

The Excel for Data Analysis online course will be instructed by Jacques Haasbroek with English as a medium of instruction. The duration of the course is four weeks for which candidates will invest at least four hours weekly to complete the Excel for Data Analysis course syllabus on time. To apply for this course, candidates will have to visit the FutureLearn portal and register. Details regarding this course are given below in the article. Candidates are advised to go through the article carefully.

Linear Regression and Modeling certification is a 4 weeks course that only takes 10 hours in total from a candidate. This course is a collaborative effort between Duke University, and Coursera. The main aim that both these platforms have is to introduce both linear regression models- simple and multiple regression. With these models, one can judge a relationship between the different variable data points in a data set.

Linear Regression and Modeling training will help with the basics of linear regression that is used with data examples for learning, examining, and ultimately utilizing these, to sum up, the relationship between variables that are multiple. An example of such a case is that the training will let the students find out the relationships between how attractive a professor is, and on what parameters does he or she evaluate students. This relationship is usually examined by using statistical software like R, and RStudio which is free of cost.

Offered by Duke University, and Coursera, the Business Metrics for Data-Driven Companies certification course is a 4 weeks online course. This programme is also the first part of the Excel to MySQL: Analytic Techniques for Business Specialization which takes 8 hours to complete. With this course, professionals will be learning to use, and make application of the different techniques of data analytics for all kinds of business companies to make them profitable.

Business Metrics for Data-Driven Companies training will help recognize the important, and critical metrics of business so that it can be differentiated from simple data. Also, this certificate course will let the participants get a proper picture of the vital roles of business data analysts, business analysts, or data scientists play in companies of different sizes. Finally, the certificate at the programme’s end will help to identify skills that are required for hiring, and then succeeding in the above high-demand roles.