Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
In the Data Science: Data-Driven Decision Making course, you will engage in practical programming in R language to learn the procedure of harvesting, tidying, and wrangling data. Through the Data Science certificate course, you will also learn how to apply statistical models to simulate complicated functions that solve a wide range of problems.
Moreover, the Data Science course by FutureLearn is offered by Monash University of Melbourne, Australia. In the Data Science: Data-Driven Decision Making certification course , you will learn to establish useful data visualisations for decision-making, and conveying your messages to other people by utilising the grammar of graphics and principles of cognitive perception.
The Data Science: Data-Driven Decision Making microcredential complies with the standards of ‘Common Microcredential Framework’. Thus, you will learn how valuable data is when it becomes the basis to act or make an important decision in the real world.
Besides, the Data Science: Data-Driven Decision Making online certificate course will inform you about the imperative legal, organisational, and ethical issues of data management and collection as well.
The Highlights
- Postgraduate-level course
- 12-weeks course
- University Credit awarded
- Course completion certificate
- Online course
- Live sessions
- Microcredential programme
- 12 hours per week
Programme Offerings
- Project-based assessments
- online learning
- live sessions
- Expert instructors
- Professional credential
- Course completion certificate
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Monash University, Melbourne |
- If you are wishful of enrolling in the Data Science: Data-Driven Decision-Making course, you will need to pay ₹111,424 as the course fee.
- FutureLearn accepts payments made through cards (MasterCard, Visa and American Express) or Paypal.
Data Science: Data-Driven Decision-Making fee structure
| Course | Amount in INR |
| Data Science Data Driven Decision Making | ₹111,424 |
Eligibility Criteria
To join Data Science by FutureLearn, candidates must have studied statistics at the undergraduate level.
Another prerequisite for a Data Science: Data-Driven Decision Making training is a computer to install and execute Rstudio and install R packages. These are required to complete the included programming exercises.
Certificate Qualifying Details
Moreover, to be eligible for the Data Science: Data-Driven Decision Making microcredential, you will have to finish the learning material and pass your assessments. These project-based assessments are marked by tutors and compulsory to gain the accredited credential.=
What you will learn
When you are done with Data Science: Data-Driven Decision-Making online course, you will be capable of:
- Developing data analysis workflows
- Developing statistical models
- Designing solutions for the challenges of big data
- Compiling information and communicate as a data story
- Applying effective techniques to wrangle and visualise data
- Reading various data formats and use web scraping for data collection
- Visualising and working with temporal and spatial data
Who it is for
The Data Science: Data-Driven Decision-Making course by FutureLearn is great for a wide range of professionals. Professionals who will benefit from the microcredential include:
- Data Scientists
- Business Analysts
- Data Analytics Managers
- Data Architects
- Project Managers
- Data Managers
- Data Engineers
Admission Details
Follow these simple steps below to enroll in Data Science by FutureLearn.
Step 1 – Tap the given link - https://www.futurelearn.com/microcredentials/data-driven-decision-making to go to the online microcredential page directly.
Step 2 – Click on the ‘Join now’ button on the screen to reach the registration page.
Step 3 – Here, login using your Facebook or Google account. Or you can just sign up by entering your email ID.
Step 4 – A page asking you to confirm your eligibility will open. Click the checkbox and tap or click ‘Next’.
Step 5 – Now fill the necessary information in the details form and hit ‘Next’.
Step 6 – For verification, now you will upload a valid photo ID. Details on the ID must match with previously filled details. Upload and tap ‘Next’.
Step 7 – Accept declaration and proceed by clicking ‘Next’.
Step 8 – On the checkout page, pay the Data Science: Data-Driven Decision Making fee securely. You will receive all the necessary details and payment receipt on your registered email address.
Application Details
To apply for the Data Science: Data-Driven Decision Making online certification, just visit the official website of FutureLearn. Go to the course page and locate the sign-up/register at the website, check eligibility for the course, and fill the details form. Finally, pay the Data Science certificate course fee and gain admission in the course.
The Syllabus
Instructors
Monash University, Melbourne Frequently Asked Questions (FAQ's)
The Data Science: Data-Driven Decision Making microcredential will be taught by expert members of faculty at Monash University (MU). First is Michael Niemann who is a Data Science Lecturer at MU’s Faculty of IT. The other expert is Dianne Cook, a Professor of Business Analytics at MU.
You will be given 14 days from the day the microcredential begins to apply for a refund.
Not at all! Data Science: Data-Driven Decision Making microcredential is designed to be pursued anywhere in the world. You do not need to have the right to study in the country where the offering University is based.
No. There can be live events, but their recordings will be available for you to watch later. So, you do not require to be present for the live broadcast.
You will be well-equipped in skills such as data Visualisation, data Analysis, R programming, data collection methods, creating data analysis workflows, data wrangling, among other essential data analytics skills.