Fundamentals of Scalable Data Science

BY
IBM via Coursera

Get introduced to the basics of data science and learn its features by pursuing the certification of the Fundamentals of Scalable Data Science by Coursera.

Lavel

Beginner

Mode

Online

Duration

4 Weeks

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

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 highlights

  • Beginner level programme
  • Offered by Coursera
  • Divided into 4 weeks
  • 21 hours of learning
  • In association with IBM
  • Free of cost programme 
  • Online learning experience
  • Certificate can be achieved
  • Flexible learning programme

Program offerings

  • Quiz
  • Videos
  • Readings
  • Assignment
  • Self-paced
  • Online

Course and certificate fees

  • Students can pursue the course without making any payment for a 7 days trial period. 
  • Students can submit the Fundamentals of Scalable Data Science fees of Rs. 4,018 in order to get the subscription which includes a certificate for the programme.

Fundamentals of Scalable Data Science Fee Details

Certification 

Fee Amount in INR

Fundamentals of Scalable Data Science  (Audit)

Free

Fundamentals of Scalable Data Science  - 1 month
Rs.4,018 /-
Fundamentals of Scalable Data Science - 3 months
Rs.8,037 /-
Fundamentals of Scalable Data Science  - 6 months
Rs.12,056 /-

Heads

Amount in Rupees

Certification fee

Rs. 3,583 per month

certificate availability

Yes

certificate providing authority

Coursera

Eligibility criteria

Education

Candidates need to have a basic understanding of mathematics, programming skills with Python, and SQL to pursue this course.

Certification Qualifying Details

Participants must complete all the lessons included in the online programme to be able to obtain a certificate at the end of the course.

What you will learn

Statistical skills Knowledge of python Knowledge of apache spark

Students will be able to understand the following concepts by the end of the course- 

  • Students will come to understand the statistical measures that are considered to reveal the patterns within the data.
  • Candidates will be able to gain an understanding of the visualization of data in different 2D as well as 3D formats in the Fundamentals of Scalable Data Science certification.
  • Participants will get to learn about data features, trends, patterns,  potential outlines, and deviations in the programme.
  • Learners will be able to analyze big data with parallel and partitioning analysis in the Fundamentals of Scalable Data Science training.
  • Candidates will be able to gain valuable insights on techniques to be used while working with big data.
  • Students will learn about parallel data processing strategies used in Apache Spark in the course.
  • Learners will acquire information regarding dimensionality reduction under the topic of data visualization in the Fundamentals of Scalable Data Science programme.

The syllabus

Week 1: Introduction to the course and grading environment

Videos
  • Course overview and a warm welcome
  • Overview of the technology used within the course
Reading
  • Intro to Apache Spark
  • Assignment and Exercise Environment Setup
  • IMPORTANT: How to submit your programming assignments
Quizzes
  • Challenges, terminology, methods and technology

Week 2: Tools that support big data

Videos
  • Data storage solutions
  • Parallel data processing strategies of Apache Spark
  • Programming language options on ApacheSpark
  • Functional programming basics
  • Introduction of Cloudant
  • Resilient Distributed Dataset and DataFrames - ApacheSparkSQL
  • OPTIONAL: Test Data Generator (data is provided for you already)
Reading
  • Apache Parquet (optional)
  • Create the data on your own (optional)
Quizzes
  • Data storage solutions, and ApacheSpark
  • Programming language options and functional programming
  • ApacheSparkSQL and Cloudant

Week 3: Scaling Math for statistics on Apache spark

Videos
  • Overview of the week
  • Averages
  • Standard deviation
  • Skewness
  • Covariance, Covariance matrices, correlation
  • Kurtosis
  • Multidimensional vector spaces
Reading
  • Exercise 2
Quizzes
  • Averages and standard deviation
  • Skewness and kurtosis
  • Covariance, correlation and multidimensional Vector Spaces

Week 4: Data visualization of big data

Videos
  • Overview of the week 4
  • Plotting with ApacheSpark and Python's Matplotlib
  • Dimensionality reduction
  • PCA
Reading
  • Exercise on Plotting
  • Exercise on PCA
Quizzes
  • Visualization and dimension reduction

Admission details

To get started with the Fundamentals of Scalable Data Science online certification, students must follow the instructions given below:

Step 1- Students must visit the mentioned link- https://www.coursera.org/learn/ds 

Step 2- They need to enrol into the course.

Step 3- Candidates are then required to create an account and sign up. They can initially access the programme for free for 7 days. Thereafter they are required to pay the fees.  

Step 4- Students can click on the given Go to course tab to access the study material.

Scholarship Details

There is a scheme for financial aid which is available for the participants who fail to afford the course fee.

How it helps

The Fundamentals of Scalable Data Science certification by Coursera is offered in the online mode and the study material of the course can be obtained for free. Students are introduced to the fundamentals of the data science aspects. The course can be completed in the time period of 20 hours and can be studied according to the time table chosen by the students. The online Fundamentals of Scalable Data Science course includes graded assignments and practice exercises along with real-life examples that help the students in gaining practical exposure to the subject and understand the concepts thoroughly. The course is a beginner level programme and covers the basics of every aspect of data science. Through the knowledge acquired from the course, students can apply for a higher level of course in the field of data science. 

The certification that is achievable upon the completion of the course helps the student in getting an internship or a beginner level job opportunity. The Fundamentals of Scalable Data Science certification benefits the individual who wants to pursue their profession in the domain of data engineering. The certification achieved can be mentioned in the CVs or resume of the candidate in order to make a great impression on the interviewer or recruiter. The certification also helps the student in increasing their profile weightage. Students can speed up the process of getting hired by sharing the certificate on LinkedIn. In case a professional wants to apply for the Fundamentals of Scalable Data Science live certification course, he or she will be able to brush up their concepts regarding the subject matter.

Instructors

Mr Romeo Kienzler
Data Scientist
IBM

Other Masters

FAQs

Where do I sign up to be a part of the online Fundamentals of Scalable Data Science programme?

Students can sign up on the platform named Coursera to join this programme specifically visiting https://www.coursera.org/learn/ds 

What kinds of pedagogy are used in the course?

Students are taught through video lectures, quizzes, assignments, readings, practice exercises, etc. in the programme.

How long will it take to complete the admission process of the programme?

The admission process of the course will take around 15 minutes and students will be able to access the course just after admission.

Can I access the online Fundamentals of Scalable Data Science certification course for a longer period of time?

Yes, the students can access the course for as long as they want by paying for the monthly subscription.

What if I'm not able to afford the fee?

Students who cannot afford the fee can apply for financial aid for the programme.

How many modules are there in the syllabus?

There are a total of 4 modules in the Fundamentals of Scalable Data Science certification syllabus.

Where can I find the financial aid option for the Fundamentals of Scalable Data Science online programme?

The option for financial aid is available on the official page of the course beside the enroll option.

When is the programme going to end?

There is no such restriction and students can access the programme anytime if they have a subscription.

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