Live 1:1 Statistics & Data-science courses

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“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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

certificate 1
 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

Certificate on Completion