# Live 1:1 Statistics & Data-science courses

“Without data, you are just another person with an opinion.”

Learn Statistics, Data Science and Coding to get an Industrial edge. Boost your career with the most demanding skill in the market.

Courses taught by Academia and Industry leaders from CMI, IIT’s, ISI, IBM, Google, Infosys and more…

## Regression Analysis

Course Duration: 10 hours

**Curriculum**

Correlation, Least Squares Method, Fitting a model, R square and its Implication, Application and Choosing proper models.

**Prerequisite**

Basic Statistics

## Certificate on Completion

**6000**

**4,500**

Classes @ 450/hr

## Logistic Regression

Course Duration: 6 hours

**Curriculum**

Binary Data, Univariate model, Bivariate Model, Predictive Analysis, Application using R or Python programming language for real life datasets

**Prerequisite**

Basics of R, Python, Linear Regression, Bivariate Data

## Certificate on Completion

**3600**

**3,000**

Classes @ 500/hr

## Econometrics

Course Duration: 12 hours

**Curriculum**

Methodology, Population and sample regression function,CLRM,Heteroscedasticity,Autocorrelation,Multicolline-arity-detection and remedy

**Prerequisite**

Regression Analysis, Time Series, Interpeting scatter plots

## Certificate on Completion

**7200**

**5,400**

Classes @ 450/hr

## Generalised Linear Models

Course Duration: 6 hours

**Curriculum**

Theory of GLM, Algorithms used for GLM estimation, Using Algorithms for Data Analysis

**Prerequisite**

Basic Statistics, Concept of Regression

## Certificate on Completion

**3600**

**3,000**

Classes @ 500/hr

## Python Basics

Course Duration: 6 hours

**Curriculum**

Introduction, Objects & Data Structures, Comparison Operators, Statements & Loops, Simple Applications

**Prerequisite**

Basic Knowledge of Computer

## Certificate on Completion

**3600**

**3,000**

Classes @ 500/hr

## Python Advanced

Course Duration: 15 hours

**Curriculum**

Python Basics, Functions, OOP, Pip&PyPi, Decorators and Generators, Web Scraping, Working with Images

**Prerequisite**

Basic skills on Python

## Certificate on Completion

**9000**

**6,750**

Classes @ 450/hr

## Maximum Likelihood Estimation & It's Application

Course Duration: 5 hours

**Curriculum**

Why we need MLE,Concept of maximum likelihood,finding MLE,Practical application

**Prerequisite**

Theory of Estimation

## Certificate on Completion

**3000**

**2,500**

Classes @ 500/hr

## R Programming Language Basics

Course Duration: 6 hours

**Curriculum**

Vectors, Matrices, Lists, Data Frames, Array, Functions, Loops and Conditional Statements

**Prerequisite**

Basic Computer Knowledge

## Certificate on Completion

**3600**

**3,000**

Classes @ 500/hr

## R Programming Language Advanced

Course Duration: 15 hours

**Curriculum**

R basics, Summarization and Graphs, Hypothesis testing, Regression, Distributions, Working with Data

**Prerequisite**

Basic knowledge of R, Basic Statistics

## Certificate on Completion

**9000**

**6,750**

Classes @ 450/hr

## Basics of SQL

Course Duration: 8 hours

**Curriculum**

Introduction and Setup, SQL Workbench, Single table Analysis, Multiple Table Analysis, Solving Real life practical problems

**Prerequisite**

Basic Programming Knowledge (not compulsory)

## Certificate on Completion

**4800**

**4,000**

Classes @ 500/hr

## Time Series Analysis

Course Duration: 10 hours

**Curriculum**

Types of data, Time series Modeling, analysis of trend and seasonal components,MA and AR,Forecasting, Practical Applications

**Prerequisite**

Probability, Modelling Data

## Certificate on Completion

**6000**

**4,500**

Classes @ 450/hr

## Categorical Data Analysis

Course Duration: 6 hours

**Curriculum**

Contingency tables,association and independence-notions and measures,log linear model,matched pair data,linear& bilinear association

**Prerequisite**

Basic Statistics

## Certificate on Completion

**3600**

**3,000**

Classes @ 500/hr

## The Normal Distribution

Course Duration: 6 hours

**Curriculum**

Pdf,moments and quantiles,characteristics,application to large sample approximation,problems and real life applications

**Prerequisite**

Probability, Random Variables

## Certificate on Completion

**3600**

**3,000**

Classes @ 500/hr

## Exploratory Data Analysis

Course Duration: 9 hours

**Curriculum**

Describing Data, Visualisation, Diagramatic rep, Handling Outliers, Handling missing data, Feature Extraction, Drawing Conclusions

**Prerequisite**

Basic 10+2 level Statistics

## Certificate on Completion

**5400**

**4,500**

Classes @ 500/hr

## Linear Algebra

Course Duration: 9 hours

**Curriculum**

Vectors, Matrix, System of equations, Determinants, Eigen value and vectors, Uses of Quadratic Forms in Linear Algebra

**Prerequisite**

10+2 basic Mathematics

## Certificate on Completion

**5400**

**4,500**

Classes @ 500/hr

## Data Visualization & It's Practical Application

Course Duration: 8 hours

**Curriculum**

Numpy, Pandas, Matplotlib, Seaborn, Statistical analysis, Diagrams and plots

**Prerequisite**

Basic Knowledge of Python

## Certificate on Completion

**4800**

**4,000**

Classes @ 500/hr

## Data Science Master Course

Course Duration: 45 hours

**Curriculum**

R programming language, Python, Mathematics and Statistics for Data Science

**Prerequisite**

10+2 Mathematics and Statistics

## Certificate on Completion

**27000**

**18,000**

Classes @ 400/hr

## Tableau for Data Analysis

Course Duration: 8 hours

**Curriculum**

Data Visualisation, Dashboards, Time Series Analysis, Data extracts, Data hierarchies

**Prerequisite**

Ease in using Computer

## Certificate on Completion

**4800**

**4,000**

Classes @ 500/hr

## Generalised Linear Models & ANOVA

Course Duration: 12 hours

**Curriculum**

Theory of linear equations, One way & Two way ANOVA,Random effects and Fixed effects models in ANOVA

**Prerequisite**

Linear Algebra

## Certificate on Completion

**7200**

**5,400**

Classes @ 450/hr

## Python for Data Analysis

Course Duration: 10 hours

**Curriculum**

Numpy, Pandas,Matplotlib, Seaborn, Working with Data, Data Vizualisation, Real life projects for Visualization of Data

**Prerequisite**

Python Basics

## Certificate on Completion

**6000**

**4,500**

Classes @ 450/hr

## R for Data Analysis

Course Duration: 10 hours

**Curriculum**

R basics,Loops and Matrices, Summarization and Graphing, Hypothesis testing, Regression, Distributions, Law of Large Numbers, Working with Data

**Prerequisite**

R Basics

## Certificate on Completion

**6000**

**4,500**

Classes @ 450/hr

## Large Sample Theory

Course Duration: 12 hours

**Curriculum**

Convergence in Probability & Law, WLLN, Central Limit Theorem, Asymptotic Distributions, Consistency

**Prerequisite**

Probability, Inequalities, Distributions

## Certificate on Completion

**7200**

**5,400**

Classes @ 450/hr

## Survey Analysis 1

Course Duration: 6 hours

**Curriculum**

Basics, SRS, Cluster sampling, Stratified sampling, 2-stage sampling

**Prerequisite**

Combinatorics, Probability

## Certificate on Completion

**3600**

**3,000**

Classes @ 500/hr

## Advanced Survey Analysis

Course Duration: 10 hours

**Curriculum**

Principles,RBD, CRD, LSD, Missing plot, Group of experiments, Factorial Design

**Prerequisite**

Linear Models, Linear Algebra

## Certificate on Completion

**6000**

**4,500**

Classes @ 450/hr

## Survey Analysis 2

Course Duration: 10 hours

**Curriculum**

LSS, CSS, Purposive sampling-PPS, Randomized response, Uses of double sampling

**Prerequisite**

Sample Survey Basics

## Certificate on Completion

**6000**

**4,500**

Classes @ 450/hr

## Sampling Distributions

Course Duration: 8 hours

**Curriculum**

Chi square, t, F distributions, Sampling Distributions of Regression coefficients, Order Statistics

**Prerequisite**

Random Variables, Probability Distributions