Coursera Data Analytics Courses & Certifications

Data Analysis is one of the most important elements to understand the problem of a population, organization or consumers of product/services by applying various models, theories and analysis. The Master of Data and Network Analytics degree equips candidates with the advanced Big data analytics skills to perform statistical analysis to extract the useful information from large sets of data. 

The Master of Data and Network Analytics syllabus develops the problem solving ability of the students by organizing multilevel models and performing structural and exploratory data analysis to investigate large sets of data to summarise the patterns of data by various data visualization methods and graphic notes.

The Master of Data and Network Analytics focuses on the advanced knowledge of network analysis and statistical approaches of network analysis to analyze the complex connections and structure in a way to make it useful for the purpose of network analysis which is difficult to analyse large quantities of complex connections and can affect the final conclusion of the analysis.

The Accounting Data Analytics with Python Programme by Coursera has been developed for the candidates who are looking to build proficiency in the Python language, especially for business intelligence and analytics. Provided in partnership with the University of Illinois, the programme aims to utilize Python’s robust computational capabilities and libraries. It focuses heavily on working with multiple domains of accounting data, be it EDGAR financial statement data, stock data, or point-of-sale data.  

The Coursera Accounting Data Analytics with Python Training covers fundamental Python programming skills like functions, conditional statements, loops, and mathematical operators. Moreover, since the course is a part of UIUC’s Master of Business Administration Degree, a greater emphasis is placed on data visualization and presentation. Furthermore, certification training also covers data structuring and manipulation, along with Python and SQL integration.

Lastly, the Accounting Data Analytics with Python Training Course is a 100 percent online learning experience that allows you to learn and train at your convenience. Along with the video lectures, you will have a collection of reading material carefully curated by Coursera at your disposal. Upon course completion, you will receive an industry revered Coursera Certificate.

The beginner-level Process Data from Dirty to Clean online course will help the students develop the skills required to be a data analyst. It is an online programme and thus does not limit the students with any time restriction. Students across the countries can apply for this course. The programme deals with the topics such as tools used in data analysis, cleaning and checking data using the spreadsheet and SQL. 

The Process Data from Dirty to Clean certification course also helps the students gain information regarding data verification. The course is provided in association with Google. The programme is free for all the participants if they learn from it in the audit mode. Since it is a beginner level programme, it does not require any specific academic eligibility, except the basic understanding of mathematics. 

The Process Data from Dirty to Clean certification programme can be completed in 25 hours. However, it can be pursued weekly according to the requirements of the student. At the end of the course, after the successful completion of all lessons and assignments, students get a chance to enjoy the benefits of professional certification.

This Introduction to Data Analytics certification course provides a gentle introduction to data analysis principles, the role of a data analyst, and the techniques used to execute everyday tasks. The enrolled candidate will acquire knowledge of the data environment as well as the foundations of data processing, such as data collection and data mining. This Introduction to Data Analytics training in the course would teach students how to tell the difference between a data engineer, data scientist and data analyst. 

They will understand what a data analyst's duties are and what data analysis entails. In order to attain Introduction to Data Analytics certification at the end, the candidate will be able to compile an overview of the data environment, including databases and data warehouses. Following that, students can learn about the key vendors in the data environment and investigate the different technologies available on-premise and in the cloud. 

Continue on this thrilling trip to learn about Hadoop, Hive, and Spark, as well as other big data platforms. The candidate will begin by studying the basics of data collection and how to classify data sources. They'll then learn how to use visualizations and dashboard software to clean, interpret, and distribute the results. All of this culminates in the final assignment, which will assess their understanding of the course content, discuss what it means to be a Data Analyst, and have a real-world application.

The online course on Prepare Data for Exploration by Coursera is the third part of the series programme under the Google Data Analytics certificate. The course will equip the students with the skills needed to apply to introductory-level data analyst jobs. The experts will guide the students throughout the Prepare Data for Exploration online course. Over 24 hours, students will gain a detailed understanding of the following topics - Considerations in Data collection, Data formats in practice, The structure of data, Introduction to Data Ethics, the importance of data ethics, Introduction to data privacy, steps for ethical data use and others. The students will gain practical data analytics skills and learn how to use tools like SQL and spreadsheet to extract, organize and protect data. Hence the online session will help the students emerge as successful data analysts.

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.

Ask Questions to Make Data-Driven Decisions is the second course in the Google Data Analytics certificate series. This particular course would teach the skills required to apply for data analyst positions at the introductory stage.  The applicant will learn from the topics presented in the first course on Google data analytics. The material will allow registered candidates to learn how to make successful data-driven decisions while being connected with the needs of stakeholders. 

Google's current data analysts will continue to train and offer students handy ways of performing the most advanced techniques and resources for basic data analysis activities. Candidates can get different opportunities to learn the dynamics and fundamentals of data-driving mechanisms. By the end of the course, the candidate will get Ask Questions to Make Data-Driven Decisions certification. 

Complete online training will be provided to the candidates, and the course is provided by the Google instructors. The candidate will get an opportunity to learn from the top instructors with constant mentor support. At the end of the course, participants will be awarded a certificate.

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 32 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.

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.

The Data Analytics Foundations for Accountancy II certification course is 70 hours one that is designed by the University of Illinois at Urbana-Champaign, and Coursera jointly. The university is a world-class researcher of teaching and has carefully designed this course for those who want an online mode where they can start learning instantly after submitting the fee. The course is best for people wanting to know about data analytics foundational concepts that are needed in accountancy.  

The Data Analytics Foundations for Accountancy II training is a self-paced programme where the students shall be able to review the materials that are covered each week, and also get a glimpse of the assignments that one will need to pass in order to successfully pass, and complete the course. The students also have an instructor Robert Brunner who will be there to assist in case the students face issues.

Students who enrol for Google Data Analytics Capstone: Complete a Case Study certification course will be able to attend online sessions with no restrictions regarding time limitations. The course is offered by Google and talks about data analysis. The course helps the student prepare for jobs in the relevant field.

The Google Data Analytics Capstone: Complete a Case Study online course includes video sessions, readings, practice papers, quizzes, assignments as the study material of the programme. Along with the available pedagogy, the course also involves a case study that helps the students gain information on how the organizations work in the market.

The course is a part of the Google Data Analytics Certificate and needs only 13 hours for completion. The course is available for free as well as with a subscription. The course also allows students to have financial aid according to their requirements. By the time the course ends, students get an opportunity to achieve a certificate after completion of their graded assignments.