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
As you know, data is at the centre of every successful organisation. It can even be referred to as the ‘heart’ of a company. Thus, the role of data professionals is pivotal to the growth and business decisions taken by any organisation. And the Certificate Programme in Data Science by Eruditus will teach you analytical techniques to treat data and solve business problems.
Besides, according to the World Economic Forum, skills will become much more crucial than job titles by 2022. This means it is critical to upskill yourself and learn some in-demand skills. Moreover, the Certificate Programme in Data Science online programme follows a self-paced format to help you learn with convenience.
The Certificate Programme in Data Science curriculum will outline the essence of data, the processes involved in a data cycle, descriptive, predictive and prescriptive analysis, and more. The Certificate Programme in Data Science classes will contain the combination of live webinars and video lessons. What’s more, you can receive a completion certificate for the Data Science online course from one of the best B-schools in India.
The Highlights
- 3-month duration
- Certificate of completion from one of the top B-Schools in India (NIRF, 2020)
- Personalised career services
- Live webinars
- Hands-on experience
- Doubt clarification with industry experts
Programme Offerings
- LIVE Webinars
- Personalised career services
- Hands-on Experience
- Certificate of completion
- Doubt clarification with industry experts
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIM Kozhikode |
Eruditus allows you to pay the Certificate Programme in Data Science fee through different methods. You can either pay the whole fee upfront or through a standard or no-cost EMI plan.
Certificate Programme in Data Science fee structure
Course Name | Fees |
Program fee | Rs. 71,750 + GST |
Eligibility Criteria
To pursue Data Science online training, you must have completed 10+2+3 years of education. Hence, you must either have a Graduate degree or a 3-year Diploma in any discipline along with work experience of 1 year.
What you will learn
Eruditus’ Data Science syllabus includes the following:
- The importance of data in making vital business decisions
- The people and processes involved in a data cycle
- The use of predictive, descriptive, and prescriptive analytics to drive growth
- The spectrum of data analytics in making business decisions
- Using data analytics to draw conclusions and extract insights from datasets
- Understanding the concept of hierarchical clustering
- Hands-on experience with Python and MS Excel
Who it is for
The Data Science certificate programme has been designed for working professionals in any field who wish to advance their careers.
Admission Details
Step 1: Land on the Certificate Programme in Data Science webpage.
Step 2: Click on ‘Start Application Now’ and provide your email address to proceed. Verify your email by entering the OTP.
Step 3: Fill the application form with your personal information, Aadhaar number, country, contact information, address, nationality, etc., and save the data.
Step 4: Enter your employment details, SOP, upload your documents and submit the form.
Application Details
The Certificate Programme in Data Science online course by Eruditus involves an application form in its enrolment process. The enrolment form is split into different parts, and you must fill in all the information to proceed. You must enter your personal information in the first part along with your Aadhaar number, age, country, residential address, contact info, nationality etc.
You must save your information and then proceed to the employment details. After that, you can choose to skip the SOP as it is optional and then upload your documents before submitting the form.
The Syllabus
- Outline the importance of data in making business decision
- Describe types of data and data catagories
- Describe the people and processes involved in data cycle
- Compare the characteristics of small data and big data
- Discuss the importance of data analytic for business decision making
- Identify actions taken during the cross industry standard process of data mining
- Discuss the data science links with other discipline
- Describe the benefits of using Microsoft Excel for making data-driven decisions
- Calculate stastical averages using Microsoft Excel functions
- Apply basic Microsoft Excel tools for data analysis
- Perform different analysis on data using techniques like what-if analysis, goal seek analysis, sensitivity analysis
- Use filter function to remove duplicates and calculate subtotals
- Review and delineate the evolution and purpose of Python
- Describe and set up Python development environment
- Practice coding with basic Python commands, operators and conditional statements
- Explore and apply Python data structure concepts such as array, list, tuple, set and dictionary
- Import python modules and packages
- Import Python libraries such as NumPy, Pandas
- Describe the need of data preparation
- Describe the sources of data
- Evaluate and improve quality of data
- Differentiate between hypothesis testing and exploratory data analysis
- Explore categorical variables
- Describe spectrum of business analytics
- Describe application of descriptive analytics
- Draw conclusions from a given set of data by using descriptive analytic techniques
- Describe application of diagnostics analytics
- Draw conclusions from a given set of data by using diagnostics analytic techniques
- Describe application of predictive analytics
- Draw conclusions from a given set of data by using predictive analytic techniques
- Describe application of prescriptive analytics
- Draw conclusions from a given set of data by using prescriptive analytic techniques
- Discuss Cross Industry Standard Process in Data Modeling
- Discuss a Generic data modeling process
- Apply prior knowledge the address the business problems
- Discuss overfitting modeling
- Explain data driven modeling
- Describe decision tree and its types
- Design a classification tree to resolve uncertainties
- Describe concepts of clustering and visualize data
- Apply K-means algorithm to cluster the data
- Apply Z-score method to standardise the data
- Interpret the cluster centre and create product segment
- Use Dendrogram and Elbow Curve for estimating the number of clusters
- Estimate the quality of clustering using Silhouette scores
- Explain the limitations of K-means clustering
- Apply hierarchical clustering to the product segmentation and the Gaussian distributed dataset
- Describe the DBSCAN clustering technique and its benefits
- Apply K-Means, Hierarchical and DBSCAN clustering to the moon dataset
- Discuss the limitations of clustering algorithms and techniques to address them
- Discuss correlation and its characteristics
- Perform association analysis by generating general association rules between market variables
- Apply association rule to restrict frequently appearing data items
- Apply association rule to identify frequency of conditional probability
- List the measures of surpise
- Use Naïve method for measuring leverage
- Use Apriorism algorithm for measuring leverage
Instructors
IIM Kozhikode Frequently Asked Questions (FAQ's)
Yes, the programme includes three webinars with Professor M P Sebastian and Professor Anjan Kumar Swain from IIM Kozhikode.
The career services will be imparted through 90-minute webinars conducted by experts.
Yes, the career services include interview prep, as well as resume and LinkedIn profile building.