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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The Fundamentals of Data Science and Statistics course will help you develop a foundation in the fundamentals of data science and statistics. The program will take you through multiple core concepts through a hands-on approach. The faculty for this training boasts over 20 years of teaching experience and has ample skills in the relevant field.
Furthermore, the Fundamentals of Data Science and Statistics program takes you through probability concepts, hypothesis testing, and linear regression essentials. Additionally, the curriculum of the training emphasizes advanced linear regression. You will get to know about multiple regression, ANOVA table, serial correlation, and other related concepts.
This Fundamentals of Data Science and Statistics online course by E & ICT Academy (IIT Kanpur) houses assignments and a course-end assessment to help you acquire a course certificate. You will have the opportunity of attending live sessions with the course instructor. Moreover, there will be a total of five lectures only.
The Highlights
- Short-term training
- Industry expert course educator
- Live course sessions
- Online training
- The introductory level of learning
- Certificate of completion
- Hands-on learning
- Immediate doubt clearing
- Final course assessment
- Assignments
Programme Offerings
- Short-term Training
- Industry expert course educator
- Live course sessions
- Online training
- Introductory level of learning
- Certificate of completion
- Hands-on Experience
- Immediate doubt clearing
- Final course assessment
- assignments
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIT Kanpur |
The Fundamentals of Data Science and Statistics online course fee has two components: the tax and the base fee. GST of 18 percent applies to the course fee.
Fundamentals of Data Science and Statistics course fee structure
Course Name | Fee in INR |
Fundamentals of Data Science and Statistics course | Rs. 5,000 |
Total fee | Rs. 5,000 |
Eligibility Criteria
The Fundamentals of Data Science and Statistics online training has no prerequisites and is open for all interested in the course subject.
Moreover, you need to score a minimum of 60 percent in the course-end MCQ exam to secure a Fundamentals of Data Science and Statistics course certificate.
What you will learn
The Fundamentals of Data Science and Statistics online program will help equip you with the following:
- Understanding of the basic data science and statistics concepts
- Performing the conversion of a .txt file into a .xlsx file
- Predicting values using linear regression
- Working with mean, frequency distribution, covariance, multicollinearity, serial correlation, and conditional probability
- Analyzing data with t-distribution, Sampling distribution, F-distribution, and Chi-Square distribution
Who it is for
The Fundamentals of Data Science and Statistics course is beneficial for the following individuals:
- Students pursuing CS or IT degrees at UG or PG level
- Engineering and Computer Science faculties and teachers
- IT professionals
Admission Details
- Begin by clicking on this: https://ict.iitk.ac.in/product/fundamentals-of-data-science-and-statistics/.
- You will enter the Fundamentals of Data Science and Statistics course homepage. You can go through the program details here.
- Locate and tap on the “Enroll & Pay” prompt.
- You will enter the checkout page where you can view the fee payment details.
- Tap on the “Proceed to Checkout” prompt.
- Register/ login with your email address to continue.
Application Details
Candidates can take the Fundamentals of Data Science and Statistics online course by logging in with their email address and password for the website. New users have to enter several details, including name, email address, gender, caste category, employment status, photograph, and address.
The Syllabus
- Types of Data
- Converting a .txt file into .xlsx
- Central Tendency Measures
- Dispersion Measures
- Frequency Distribution
- Skewness and Mean
- Scatterplots
- Covariance and Correlation
- How to make sense of Data
- Revision of Probability Concepts
- Importance of Probability for DS
- Conditional Probability
- Bayes' Formula
- Dependent and Independent Events
- Uniform and Binomial Distribution
- p values
- Normal and Lognormal Distribution
- False Positive and False Negative
- Central Limit Theorem
- Sampling Distribution
- Standard Error
- Sample Size Determination
- Sampling Biases
- Confidence Intervals
- Hypothesis Testing Steps
- P-value Revisit
- Type I and Type II Errors
- Student's t- Distribution
- Chi-Square Distribution
- F Distribution
- All the above wrt Applicability and with Data Sets
- Applicability of Linear Regression
- Scatter Plot and Correlation
- Dependent and Independent Variable
- Linear Regression on Excel
- Assumptions behind Linear Regression
- Interpret the slope and the intercept
- Understand SEE, Confidence Intervals, Coefficient of Determination
- Calculations of the predicted value
- Significance of the Regression Model
- Limitations of Regression Analysis
- ANOVA Table Analysis
- Adjusted R Squared
- Multiple Regression: Simultaneous and Stepwise Regression
- ANOVA Table Analysis
- Heteroskedasticity
- Dummy Variables
- Serial correlation
- Model Mis-specifications
- Multicollinearity