Master the knowledge of Spark SQL, GraphFrames, DataFrames and Hive tools with The Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames certification.
We are witnessing a phenomenal era, which is digitally powered with technologies flourishing exponentially. With the strong presence of Big Data, computer systems are now capable of deriving acute information and desired results through analysis of this structured and unstructured data, which ultimately forms the ‘big data’. It is also witnessed that such analysis of Big Data is highly relevant and informative for large organisations, businesses and professionals to optimize their performances.
Considered to be information assets, Big Data enables effective decision making, optimizing processes and cost effectiveness in large, medium as well as small organisations. However, to yield the benefits of this high volume, high velocity and high variety of big data, it becomes essential to analyse this big data using various tools and techniques. This is where the knowledge of using Hive, Spark SQL, DataFrames and GraphFrames comes very handy. Analysts engaged in big data analysis are highly in demand and using these tools, one can efficiently analyse the big data to facilitate important decision making and process optimisation in their employer organisations.
The Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames online programme offered by Coursera will impart key skills to the participants in using big data analysis tools and pursue their careers in the area of big data analysis.
Fee details for Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames Course
Course Purchase Fees
Rs. 2,159 (includes full access to course material and graded assignments)
Audit Only
Free access to course material except graded assignments
Financial Aid
Available on application
Yes
Coursera
₹2,152
Certification Qualifying Details
In order to avail the certificate of completion, participants of The Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames certificate course will have to complete as well as pass in all the graded items attached to the course. These assignments will consist of quizzes and other assignments (if applicable). Upon passing in these assignments, Coursera will issue an electronic certificate of completion which will be automatically added to the accomplishment page of participants. further, this certificate can be shared online via URL as well as be printed.
Upon completion of The Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames, participants of the Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames course will be able to:
To enrol for the Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames online certificate course, the participants are required to follow the below mentioned steps.
Step 1: Visit the course page.
Step 2: Click on the “Enroll for Free” box.
Step 3: Log in or sign up using your Google or Email credentials.
Step 4: You will have the option of “Purchase Course” and “Audit Only”. “Purchase Course” will enable the applicants to receive full access to all course material and graded assignments. Through the “Audit Only” option, applicants will only receive access to course content, and not the graded items.
Step 5: Choose the option of your choice and proceed to make payment.
Please note that applicants via the “Audit Only” option, applicants will be able to access the course content, but not the graded assignments, which is required to avail course completion certificate from Coursera.
Coursera offers financial aid/sponsorship support for this course. Through this, participants will be able to access the entire course content including the graded assignments in order to earn the course completion certificate.
To apply for financial aid/scholarship, follow these steps.
Step 1: Click on the ‘Financial aid available’ button on the course homepage. Enter your desired log-in credentials to proceed.
Step 2: Fill the application form with basic information and required fields. To avoid rejection, ensure that the application is more than 150 words.
Step 3: While your application is being reviewed, you can begin the course through audit mode. Please note that the review process can take up to 15 days.
Step 4: Upon review, Coursera will notify your application status as accepted or rejected/denied via email. In the case of application being accepted, participants will be directly enrolled in the course.
Step 5: Participants will have 2 weeks’ time to unenroll from the course, once the application has been accepted.
Participants will be required to pass in all the graded assignments of the course to earn the course completion certificate from Coursera. These assignments will consist majorly of quizzes and any other applicable assignments given by the instructors. Participants can opt for flexible deadlines, as well as save their progress to be picked up later. Participants will be eligible for a shareable Certificate from Coursera only after completing and passing all the required graded assignments.
In this highly digitised era, technological advancements are beaming and achieving new heights. Digitalisation is simplifying processes and optimizing performance, allowing the businesses to flourish more efficiently. This is possible because of useful, informative and critical analysis of ‘Big Data’. Participants of this online course will be benefited with knowledge and skills to use various tools for building highly dynamic and well-organised big data workflows.
Through this online certification course, participants will gain useful insights and working knowledge of Hive, Spark SQL, DataFrames and GraphFrames, which will enable them to efficiently warehouse their data, write and execute queries, as well as work with social graphs and networks. The participants will benefit a great deal by gaining knowledge of Pandas DataFrame, Aggregates, PageRank Optimization, Memory Management and various other tools of big data analysis. The participants will also receive a shareable certificate from Coursera upon completion of the course.
Globally, there is a surge in demand for big data analysts and business analysts who possess the competency to deal with a humongous volume of data. By attending and completing this course, the participants will receive exposure to tools and techniques used in analysing big data and strengthen their skills and competencies to assist their employer organisations in better decision making, forecasting, cost reduction and process optimisation. Participants will also receive their training tutorials from leading instructors representing the big data analysis field.
This course is an advanced level course designed to deliver learning on making use of big data analysis tools like Hive, Spark SQL, DataFrames and GraphFrames, irrespective of the personal skill levels of the participants.
Through the Audit Only option, participants will be able to access only the course material consisting of videos and readings, and not the graded assignments like quizzes. Participants do not have to pay any fees or charges to ‘audit’ the course.
Only those participants who have completed all the course work and have passed with sufficient grades will become eligible for Coursera certification.
You will receive your certificate once you have passed in all the graded assignments. From the accomplishments page, you can share the certificate online on LinkedIn, CV and more, as well as print the same.
By purchasing the course, participants will have access to full contents of the course including quizzes and other graded assignments required to earn certification.
The University of Adelaide, Adelaide via Edx
Belhaven University, Mississippi via Intellipaat
Yandex via Coursera
Udacity
Penn via Edx
UC San Diego via Edx
SkillUp Online via Simplilearn
IIIT Bangalore via upGrad
CMU School of Computer Science, Pitts... via TalentSprint
Simpliv Learning
MIT Cambridge via Edx
Purdue University, West Lafayette via Edx
Google via Edx
Delft University of Technology via Edx
Brochure has been downloaded.
Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile
