PG Certification Program in Data
Science and Analytics
Launch your career with a 100% Job
Guarantee Pay After Placement Program
09 Month | Weakened Live Classes | Guaranteed Placement | Mentorship and Mock Interview
Minimum Eligibility: Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required.
Learning Format: Online Bootcamp
Get Placed in
9/10 of our learners got placement with salary hike of 200% and achieve their outcomes.
Tools Covered
Live Online Classes
Learn through live online lectures delivered by our Top Ranked Faculty (after working hours)
Hands on learning
Become future ready by applying what you will learn and built real-life projects.
ISIEINDIA Certificate
Earn a PG Certificate in Data Science from ISIEINDIA - Ranked #1 in Analytics Education.
Placement Guaranteed
5 Guarantee job interview from over 350+ Hiring Partner.
Placement Highlights
5 Guaranteed Interview with Top Organizations
350+
Participating Companies
6.9 LPA
Average CTC
30 LPA
Highest CTC
60 %
Average Salary Hike
Top Skills You Will Learn
Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data, Natural Language Processing
Who Is This Programme For?
Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals.
Job Opportunities
Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist
Minimum Eligibility
Bachelor’s Degree with minimum 50% or equivalent passing marks. No coding experience required.
What are the latest trends in Data Science ?
Data Analyst
Understand the issues and
create models based on the
data gathered, and also manage
a team of Data Analyst.
Data Scientist
Build strategies on frameworks
and technologies to develop
solutions and help the
organization prosper.
Data Engineer
With the help of several
Learning tools and technologies,
build statistical models with
huge chunks of business data.
Applied Scientist
Design and build Machine Learning
models to derive intelligence for the
numerous services and products
offered by the organization.
Big Data Specialist
Create and manage pluggable
service-based frameworks that
are customized in order to import,
cleanse, transform, and validate data.
Senior Business Analyst
Extract data from the respective
sources to perform business
analysis, and generate reports,
dashboards, and metrics.
Still have Questions?
Talk to our Experts…
Get Ahead with ISIEINDIA's Master Certificate
Earn your Data Scientist course certificate
Our Data Science course is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
Differentiate yourself with a Masters Certificate
The knowledge and Data Science skills you’ve gained working on projects, simulations, case studies will set you ahead of the competition.
Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
150+
Content Hours Available
20+
Industry Projects
60+
Live Learning Sessions
14+
Programming Tools/ Languages
Module 1
Flowchart
Data
Types
Operators
Conditional Statements
Loops
Functions & Recursions
Strings
In-built Data Structures- List
Tuple
Dictionary
Set
Practice
Python Refresher
Lambda Functions
List Comprehension
Functional Programming
Decorator
Args
Kwargs
Object Oriented Programming
Exception Handling
Modules
Package
Library
Built-in Modules in Python
Basic DSA & Problem Solving
Numpy
Pandas
Data Visualisation using Matplotlib & Seaborn
Regular Expression/ Pattern Matching
Git and Github (Recorded Session)
Probability Theory & Descriptive Statistics
Probability Distributions Inferential Statistics
Coordinate Geometry
Linear Algebra
LP Optimization Basics
Estimation Problems
Module 2
Databases & SQL
Web API
Scraping
Data Cleaning
Unstructured Data
Hypothesis Testing
Parametric vs non-parametric
Z-test
Chi-square
Skewness
Kurtosis
Normality Test
Experiment Design
ANOVA
Simulations
Power of Test
A/B testing
Diff n Diff
Multi-arm Bandits
EDA
Covariance
Correlation
Pearson
Spearman Rank
Multi-dimensional
Feature Engineering
Column normalisation
Standardisation
Covariance Matrix
Missing Values
Outlier Treatment
Module 3
Managing Data Sources & Visualizations
Analysing Data using Statistical Tools
Creating Basic Charts
Dashboards & Action
Metric Design
Decode Product & Strategy Rounds
Advanced SQL
Google Spreadsheets
Introduction to Excel and Formulas
Tables
Chart and Statistical Functions. Advanced Tableau
Mapping Geographic Data Using stories to build dashboards
Working with Times and Dates
Creating Conditional Calculations Using Logical Functions
Creating Level of Detail (LOD) Expressions
Summarising Data Using Table Calculations
Managing Text Strings
Module 4
Supervised Learning
Linear Regression
Gradient Descent
Multicollinearity
VIF
R-square
Heteroscedasticity
Sklearn
Polynomial Regression
Bias-Variance trade-off
Regularisation
Logistic Regression
Squashing function
AUC
ROC
Precision-Recall Curve
Confusion matrix
Specificity
KNN
Decision Trees
Ensemble learning
Bagging
Boosting
SHAP Values
Support Vector Machine
Bayesian Machine Learning
Managing Data Sources & Visualizations
Collaborative/Content filtering
Propensity analysis
Cold start problem Market Basket Analysis/Data
Mining/Association Mining
EDA
Resampling
Autocorrelation
Forecasting
Seasonal Naive
Double/Triple Exponential (Holt) Residual Analysis
Stationarity tests
Autoregressive methods
Moving average
ARIMA
SARIMA
Module 5
Linear Algebra - Vector and Matrices, Dot product, Projections, System of Equations, Matrix Transformation, Eigen Vectors and Values, Orthonormal Basis Vectors, SVD, PCA
Coordinate Geometry - Line, Plane, Hyper Plane, Half space, Classification using plane
Calculus - Functions, Limits, Derivatives, Partial derivatives, Saddle points
Linear Regression
Gradient Descent
Multicollinearity
VIF
R-square
Heteroscedasticity
Sklearn
Polynomial Regression
Bias-Variance trade-off
Regularisation
Logistic Regression
Squashing function
AUC
ROC
Precision-Recall Curve
Confusion matrix
Specificity
KNN
Decision Trees
Ensemble learning
Bagging
Boosting
SHAP Values
Support Vector Machine
Bayesian Machine Learning
KMeans
Customer Segmentation
Hierarchical
DBSCAN
Anomaly Detection
Local Outlier Factor
Isolation Forest
Dimensionality Reduction
PCA
t-SNE
GMM
Information Theory
Expectation Maximization
Collaborative/Content filtering
Propensity analysis
Cold start problem
EDA
Resampling
Autocorrelation
Forecasting
Seasonal Naive
Double/Triple Exponential (Holt) Residual Analysis
Stationarity tests
Autoregressive methods
Moving Average
ARIMA
SARIMA
Neural Networks - MLP
Backpropagation
Hyperparameter Tuning
Practical Aspects of DL
Keras
Tensorflow
Join the Data Science industry
By 2026, IDC predicts Data Science and cognitive computing spending will reach $52.2 billion. Data Scientist is one of the hottest professions.
28%
Annual Job Growth By 2026
11.5 M
Expected New Jobs By 2026
Rs.4.5L -22L
Average Annual Salary
Source: Market Research Rpt
Source: US bureau of Labor
Source: Glassdoor
Companies hire Data Scientists
and many more…
Batch Profile
The Data science certification program is designed for working individuals from various sectors. The variety of students enriches class discussions and interactions.
Admission Details
Admission Details
Candidates can apply to this Data Science certification program in 3 steps. Selected candidates receive an offer of admission, which is accepted by admission fee payment.
STEP 1
Submit Application
Tell us about yourself and why you want to do a Data Science certification
STEP 2
Application Review
An admission panel will shortlist candidates based on their application
STEP 3
Admission
Selected candidates can start the Data Science program within 1-2 weeks
Admission Fee & Financing
The admission fee for this Data Science program is ₹ 1,49,999 (Incl. taxes). This fee covers applicable program charges and NSDC Certification.
Financing Options
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
No Cost EMI
We have partnered with the following financing
companies to provide competitive finance options
at 0% interest rate with no hidden costs.
Financing as low as
₹ 8,333/month*
Other Financing Options
We provide the following options for one-time payment
Internet
Banking
Credit/Debit
Card
Standard
EMI
Total Admission Fees
₹ 1,49,999
(Incl. taxes)
Student Testimonial’s
