PG Diploma in Data Science (Classroom) - India's Most comprehensive & Affordable program offered by IMS Proschool, Connaught Place
4.0 /5- Estd. 2008
PG Diploma in Data Science (Classroom) - India's Most comprehensive & Affordable program at IMS Proschool, Connaught Place Overview
Duration | 16 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
PG Diploma in Data Science (Classroom) - India's Most comprehensive & Affordable program at IMS Proschool, Connaught Place Highlights
- Flexible Learning Program
- Flexible Weekend/Online Classroom, 9 mths Govt Approved PG Diploma
- A great course for learning Data Science
- Diploma Course
PG Diploma in Data Science (Classroom) - India's Most comprehensive & Affordable program at IMS Proschool, Connaught Place Course details
- Graduation in any stream with at least 60% in 12th standard
- Third and final year students can join the program (PG Diploma certificate only after successfully completing their bachelor?s degree)
- India's most comprehensive yet affordable program
- Government Approved PG Diploma
- Capstone Projects - work on a real-life business case and perform data cleaning and analysis tasks
- Real Time Start-up Projects
- Additional Certification on Business Analytics from NSE Academy
- Mentoring from data scientist working in companie such as Mckinsey & Mu Sigma etc.
- Expert faculty with wide industry experience in the analytics industry and alumni of top universities
- Value for Money
- Industry Coverage for around 8-10 sectors
- Domain based case studies
- Domain theory based video sessions
- 24 * 7 access to practice material, videos, quizzes, mock tests, etc.
- Flexible learning options.(Weekend classroom/online)
- Learn Advance Analytics tools like Text, Marketing, Retail Analytics & Machine Learning.
- Learn analytical tools like R, SAS, Hadoop, Python, Tableau etc.
- 100% Placement assistance which includes interview grooming, group discussions, resume writing etc.
- IMS Proschool offers a comprehensive and yet affordable program in Data Science. The program has an employment-oriented approach and is based on a detailed research of companies? requirements. It prepares Students for roles like Business Analyst, Data Analyst and Data Scientist and is available in full time and part time modes.
- Data Analytics is the science of analyzing data to find out patterns that will be helpful in developing strategies. Its usage can be found in almost every industry. Following is an indicative list of roles you can play in the analytics industry - Data engineers, Data analysts, Data Scientists, Business Analysts, Machine Learning Developers & BIG Data Analysts
PG Diploma in Data Science (Classroom) - India's Most comprehensive & Affordable program at IMS Proschool, Connaught Place Curriculum
Business Analytics
Basic Statistical Concepts
Data Summarization and Representation
Measures of Central Tendency and Dispersion
Probability Concepts
Probability Distributions ? Normal distribution
Sampling and Estimation
Hypothesis Testing
Excel Proficiency
Formatting of Excel Sheets
Use of Excel Formulae Function
Advanced Modeling Techniques
Data Filter and Sort
Charts and Graphs
Table formula and Scenario building
lookups, pivot tables
Introduction to macros
Predictive Analytics
Simple & Multilinear Regression
Coefficient of Determination & Adjusted R2
Building Regression Model
Interpretation of Coefficients, Dummy Variables
Residual Analysis, Outliers
Logistic Regression - Assumptions, Model Building, Logistic function
Interpreting coefficients, Model Accuracy
HosmerLemeshow test, Kolmogorov Smirnov Statistic and Chart
Predictive Analytics: Forecasting
Principles of Forecasting
Concept if Time Series, Causal Models
Types of Forecasting Methods ? Exponential Smoothening, Moving Average
Trend, Seasonality, Cyclicity
Holt-Winter?s Forecasting Method
Data Mining Techniques
Market Basket Analysis
Basic Concepts
Frequent Item set Mining Methods
Apriori, FP growth
Pattern Evaluation Methods ? Lift, Support
Data Mining Techniques: Classification
Concept of Classification
Decision Tree Induction
Bayes Method, Rule-Based Classification
Ensemble Approaches
Data Mining Techniques: Clustering
Concept of Clustering
Partitioning Methods, Hierarchical Methods
Density Based Method, Grid Based Method
Kmeans Method
Evaluation of Clustering
Application of Concepts in R and SAS
Reading & Writing the data in R
R- Vectors, Frames, Subsets
Code writing, R code debugger
Reading, Managing and Manipulating data in SAS
Creating Charts in SAS
Application of Predictive and Data Mining Techniques in R and SAS
Big Data Tools and Technology
SQL - Database
Introduction to Databases ? Terminologies: Records, Fields, Tables
Introduction to Database Normalization, Primary key, Accessing the data
Introduction to SQL ? syntax, data types, operators, Table creation in SQL
Table Access and Manipulation ? select with where clause, SQL constraints, concepts of join ? inner, outer
Hadoop
Understanding Big Data and Hadoop
Hadoop Architecture and HDFS
Hadoop-Map-Reduce Framework
Advanced Map-Reduce
Apache Pig
Apache Hive
Advanced Hive and HBase
Advanced HBase
Processing Distributed Data with Apache Spark
Oozie
Hadoop Project
Python
Basic Programming in Python
Numpy
Pandas for EDA
Matplotlib for Data Visualization
Scikit Learn for Machine Learning
Tableau
Getting Started with Data
Connecting to Data
Visual Analytics
Dashboards and Stories
Mapping
Calculations
How To make analytical charts
Advance Analytics
Machine Learning
Introduction to Neural Networks and Deep Learning
SVM and Naïve Bayes
Advanced Decision trees like Ripper,C5.0 Random Forest
forecasting numeric data
dimensionality reduction
Boosting algorithms including Adaboost and Xgboost
Hyper-parameter tuning
Volatility models such as ARCH and GARCH
Advanced Clustering and Classification
Advanced Linear Regression processes
R Packages and there Features
Text Mining
Intro to text mining and applications
TM package in R
Applications of Regular expression
Sentiment Analysis
Ensemble Agreement
Topic Modelling
Network analysis of tweets
Clustering in Text documents
Marketing Analytics
Marketing Measurement Strategy
Price and Promotion Analytics
Competition Analysis and Market Segmentation
Product Distribution and Sales
Marketing Mix Modeling(MMM)
Marketing Metrics
Campaign Analytics and Channel Management
Forecasting
New product Analytics
Customer Lift cycle analysis
Customer Loyalty Analysis
Domain based Case Studies
( Proschool will provide basic theory videos for domain understanding and Analytical case studies will be conducted in the classroom)
Retail Analytics
Overview of the Retail Industry
Customer Analytics
Merchandizing Analytics
Store Operations
E-commerce and Marketing
Inventory analysis
Domain based Case Studies
( Proschool will provide basic theory videos for domain understanding and Analytical case studies will be conducted in the classroom)
Financial Analytics
Domain Based Case Studies
HR Analytics
Domain Based Case Studies
Work with Start-ups on Analytics Projects
Real Time Project with a start-up
Placement Prep
CV preparation
Group Discussion
Interview Preparation
Presentation techniques
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Colleges in DelhiIMS Proschool, Connaught PlaceCoursesPG Diploma in Data Science (Classroom) - India's Most comprehensive & Affordable programPG Diploma in Data Science (Classroom) - India's Most comprehensive & Affordable program at IMS Proschool, Connaught Place Contact Information
01A, Ashoka Estate Building, New Barakhamba Road
Delhi