Learning Objectives : 1. Introduce R as a programming language 2. Introduce the mathematical foundations required for data science 3. Introduce the first level data science algorithms 4. Introduce a data analytics problem solving framework 5. Introduce a practical capstone case study
Learning Outcomes: 1. Describe a flow process for data science problems (Remembering) 2. Classify data science problems into standard typology (Comprehension) 3. Develop R codes for data science solutions (Application) 4. Correlate results to the solution approach followed (Analysis) 5. Assess the solution approach (Evaluation) 6. Construct use cases to validate approach and identify modifications required (Creating)
Week 1 : Linear algebra for data science (algebraic view - vectors, matrices, product of matrix & vector, rank, null space, solution of over-determined set of equations and pseudo-inverse) , Week 2 : Linear algebra for data science (geometric view - vectors, distance, projections, eigenvalue decomposition) Week 3 : Statistics (descriptive statistics, notion of probability, distributions, mean, variance, covariance, covariance matrix) Week 4 : Statistics (Understanding univariate and multivariate normal distributions, introduction to hypothesis testing, confidence interval for estimates) Week 5 : Typology of data Science problems and a solution framework Week 6 : Univariate and multivariate linear regression Model assessment (including cross validation) Week 7 : Verifying assumptions used in linear regression , Assessing importance of different variables, subset selection Week 8 : Introduction to classification and classification using logistics regression ,Classification using various clustering techniques
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.