What is the total duration of the Data Science Prodegree Training Course?

The course provides two options - 4 months part-time or 2 months full-time.

Does the course guarantee placements?

No, the course does not guarantee placements.

Will I get a certificate after completion?

Yes, all learners who complete the Data Science Prodegree Course will get a course certificate.

What all job roles will I get with the help of skills acquired through the course?

The skills acquired through the course will help you achieve jobs including data scientists, data analysts, machine learning engineers, data visualization specialists, research data analysts, or business analytics consultants.

On which platform is the Data Science Prodegree Course available?

The Data Science Prodegree Online Course is available on the Imarticus online platform.

Data Science Prodegree by KPMG International via Imarticus: Fee, Duration, How to Apply

Data Science Prodegree

KPMG International via Imarticus

Learn about industry oriented techniques of data science essential for data scientists through the Data Science Prodegree Course.

Online

9 Months

₹ 58000

particular	details
Collaborators KPMG	Medium of instructions English	Mode of learning Self study, Virtual Classroom	Mode of Delivery Video and Text Based	Frequency of Classes Weekends

particular

details

                                    Collaborators
                                    
                                        KPMG

                                    Medium of instructions
                                    English

                                    Mode of learning
                                    Self study, Virtual Classroom

                                    Mode of Delivery
                                    Video and Text Based

                                    Frequency of Classes
                                    Weekends

Excel

MS excel

Pivot tables, Charts and Look up

SQL

Basics SQL

Introduction to SQL
DDL Statements
DML Statements
DQL Statements
Aggregate Functions

Advanced SQL - Part 1

Introduction to SQL
DDL Statements
DML Statements
DQL Statements
Aggregate Functions

Advanced SQL - Part 2

Views & Indexes
Sub-Queries

Python Programming

Intro to Python (Python Objects + List Comprehension)

Python Introduction
Variables
Functions
Python Operators
Python Flow Controls
Conditional Statements
Loops

User-defined and Lamda Functions

User defined Functions
Function Arguments
Lamda Functions

NumPy

Introduction to NumPy
NumPy Array
Creating NumPy Array
Array Attributes
Array Methods
Array Indexing
Slicing Arrays
Array Operation
Iteration through Arrays

Pandas

Introduction to Pandas
Pandas Series
Creating Pandas Series
Accessing Series Elements
Filtering a Series
Arithmetic Operations
Series Ranking and Sorting
Checking Null Values
Concatenate a Series

Data Frame Manipulation

Pandas Dataframe - Introduction
Dataframe Creation
Reading Data from Various Files
Understanding Data
Accessing Dataframe Elements using Indexing
Dataframe Sorting
Ranking in Dataframe
Dataframe Concatenation
Dataframe Joins
Dataframe Merge
Reshaping Dataframe
Pivot Tables
Cross Tables
Dataframe Operations
Checking Duplicates
Dropping Rows and Columns
Replacing Values
Grouping Dataframe
Missing Value Analysis & Treatment

Visualisation - Part 1

Visualisation using Matplotlib
Plot Styles & Settings
Line Plot
Multiline Plot
Matplotlib Subplots
Histogram
Boxplot
Pie Chart
Scatter Plot

Visualisation - Part 2

Visualisation using Seaborn
Strip Plot
Distribution Plot
Joint Plot
Violin Plot
Swarm Plot
Pair Plot
Count Plot
Heatmap

EDA

Summary Statistics
Missing Value Treatment
Dataframe Analysis using Groupby
Advanced Data Explorations

Statistics for Data Science

Introduction to Statistics

Introduction to Statistics
Random Variables
Descriptive Statistics
Measure of Central Tendency
Measure of Dispersion
Skewness and Kurtosis
Covariance and Correlation

Probability Theory

What is Probability?
Events and Types of Events
Sets in Probability
Probability Basics using Python
Conditional Probability
Expectation and Variance

Probability Distributions

Probability Distributions
Discrete Distributions
- Uniform
- Bernoulli
- Binomial
- Poisson
Continuous Distributions
- Uniform
- Normal
Probability Distributions using Python

Hypothesis Testing

Introduction to Hypothesis Testing
Terminologies used in Hypothesis Testing
Procedure for testing a Hypothesis
Test for Population Mean
Small Sample Tests
Large Sample Tests
Test for Normality

Statistical Tests

One-way ANOVA
Assumptions
ANOVA Hypothesis
Post Hoc Test
Chi-Square Test
Chi-Square Test Steps
Chi-Square Example

Machine Learning

Introduction to Machine Learning

Introduction to Machine Learning
Machine Learning Modelling Flow
Parametric and Non-parametric Algorithms
Types of Machine Learning

Linear Regression using OLS

Introduction of Linear Regression
Types of Linear Regression
OLS Model
Math behind Linear Regression
Decomposition Variability
Metrics to Evaluate Model
Feature Scaling
Feature Selection
Regularisation Techniques

Project on Linear Regression

Project - Property Price Prediction
Class Assessment on Linear Regression

Optimisation Techniques

What is Optimisation?
Gradient Descent
Adagrad Algorithm
Adam Algorithm

Linear Regression with SGD

Prerequisites
Introduction to Stochastic Gradient Descent (SGD)
Preparation for SGD
Workflow of SGD
Implementation of SGD on Linear Regression

Project - Vehicle Performance Prediction

Logistic Regression

Classification with Linear Regression
Intro to Logistic Regression
Maximum Likelihood Estimation
Logistic Regression Using SGD
Performance Metrics

Project - Vehicle Usage Prediction

Decision Trees

Introduction to Decision Tree
Entropy
Information Gain
Greedy Algorithm
Decision Tree: Regression
Gini Index
Tuning of Decision Tree

Project - Heart Disease Prediction

Random Forest

Introduction to Random Forests
Averaging
Bagging
Random Forest – Why & How?
Feature Importance
Advantages & Disadvantages

Project on Random Forest

Project - Taxi Fare Prediction
Class Assessment on Classification

K-means Clustering

What is Clustering?
Prerequisites
Cluster Analysis
K-means
Implementation of K-means
Pros and Cons of K-means
Application of K-means

Project on K-means Clustering

Project - E-commerce Customer Segmentation

Hierarchical Clustering

Introduction to Hierarchical Clustering
Types of Hierarchical Clustering
Dendrogram
Pros and Cons of Hierarchical Clustering

Project on Hierarchical Clustering

Project - Travel Review Segmentation
Home Assignment on Clustering

Principal Components Analysis

Prerequisites
Introduction to PCA
Principal Component
Implementation of PCA
Case study
Applications of PCA

Project on PCA

Project - Real Estate Data Analysis using PCA

Time Series Modelling

Understand Time Series Data
Visualising Time Series Components
Exponential Smoothing
Holt's Model
Holt-Winter's Model
ARIMA

Project on Forecasting

Project - Forecasting the Sales of a Furniture Store

Cloud Basics

Basics of Cloud

ML on Cloud

Machine Learning on Cloud

Deployment on Cloud

Deploying ML models on Cloud

Data Visualisation with Tableau

Introduction to Tableau
Tableau Interface and Chart Types
Visual Analytics with Tableau
Dashboard and Stories

Deep Learning

Artificial Neural Network (ANN)

Introduction to Artificial Neural Network
Biological and Artificial Neurons
Activation Functions
Perceptron
Feed Forward Network
Multi-layer Perceptron (MLP)
Back Propagation
Deep ANN
Optimisation Algorithms
- Gradient Descent
- Stochastic Gradient Descent (SGD)
- Mini-Batch Stochastic Gradient Descent
- Stochastic Gradient Descent with Momentum
- AdaGrad
- RMSProp
- Adam
Batch Normalisation

Project - Close Value of Stock Prediction using Neural Network

KERAS

What is Keras?
How to Install Keras?
Why to Use Keras?
Different Models of Keras
Preprocessing Methods
What are the Layers in Keras?

Project - Bank Credit Card Default Prediction using ANN on Keras

Tensorflow 2.0

Introduction to Tensors & TensorFlow
TensorFlow in Real-time Applications
Advantages of TensorFlow
How to Install TensorFlow
TensorFlow 1x vs TensorFlow 2.0
Eager Execution in TensorFlow 2.0

Project - Image Classification with Keras and TensorFlow

https://short-courses.syracuse.edu/presentations/info/syracuse-women-as-business-leaders-online-short-course/

Recurrent Neural Network (RNN)

Introduction to RNN
RNN Network Structure
Different Types of RNNs
Bidirectional RNN
Limitations of RNN

Project - Classify Consumer Product Complaints using RNN

Artificial Intelligence - NLP & Computer Vision

Natural Language Processing Part I -NLTK

What is NLP?
Typical NLP Tasks
Morphology
Sentence Segmentation & Tokenisation
Pattern Matching with Regular Expression
Stemming, Lemmatisation
Part of Speech – POS
Named Entity Recognition (NER)
Parsing, Chunking
Stop Words Removal (English)
Corpora/Corpus
Context Window – Bi-gram, N-gram
Applications of NLP
Introduction to the NLTK Library
Processing Raw Text
Regular Expression
Normalising Text
Processing Raw Text – Tokenise Sentences
String Processing with Regular Expression
Normalising Text
Extracting Features from Text
Bag-of-Words(BoW), TF-IDF
Similarity score - Cosine similarity
Naïve Bayes Classifier

Project - Textual Document Classification

Computer Vision

Image Formation
Sampling and Quantisation
Image Processing – flipping, cropping, rotating, scaling
Image statistics & Histogram
Spatial Resolution
Gray level/Intensity Resolution
Spatial Filtering
Convolution
Smoothing, Sharpening
Color Space Conversion & Histogram
Thresholding for Binarisation
Morphological Operations
Image Gradient
Bounding Box
Sobel’s Edge Detection Operator
Template Matching
Image Feature – Key-point and Descriptor
Harris Corner Detector
Object Detection with HoG
Stream Video Processing with OpenCV

Project - Multi-class Classification of Flower Image

Advanced Computer Vision

Convolutional Neural Network
Motivation Behind ConvNet
Convolution Operation
Padding
Pooling
FCN for Classification
Cat Dog Classification
CNN in Keras
Applications
Transfer Learning – Introduction and Motivation
Transfer Learning –ConvNet
A Transfer Learning Scenario
ILSVRC
ImageNet
VGGNet (VGG16)

Project - Classification of Cat/Dog images using Transfer Learning and CNN model

Specialisation 1 - Advanced ML & AI Track

Random Forest + Ensemble Modelling Techniques

What is Ensembling?
Bootstrap Method
Bagging
Boosting
XGBoost
AdaBoost

Analytics in Healthcare/Finance

Some detailed project based on Classification

Association Rule Mining

Association Rules - Apriori algo

Analytics in Retail

Market Basket Analysis - Problem

Analytics in E-commerce

Some detailed project based on RFM model

Introduction to Computer Vision and Open CV

What is Computer Vision
Image Formation
Image Processing – flipping, cropping, rotating, scaling
Drawing on images
Image statistics & Histogram
Spatial Resolution
Gray level/Intensity Resolution
Convolution
Smoothing, Sharpening
Color Space Conversion & Histogram
Thresholding for Binarization
Sobel’s Edge Detection Operator
Image Feature – Key-point and Descriptor
Stream Video Processing with OpenCV

Project - Multi-class Classification of Flower Images using CNN

Transfer Learning

Transfer Learning – Introduction and Motivation
Transfer Learning –ConvNet
A Transfer Learning Scenario
ILSVRC
ImageNet
VGGNet (VGG16)/Inception/ResNet
Project using Transfer Learning Model

Recurrent Neural Network (RNN)

Introduction to RNN
RNN Network Structure
Different Types of RNNs
Bidirectional RNN
Limitations of RNN

Introduction to NLP and NLTK

What is NLP?
Sentence Segmentation & Tokenization
Stemming, Lemmatization
Part of Speech – POS
Named Entity Recognition (NER)
Parsing, Chunking
Stop Words Removal (English)
Corpora/Corpus
Context Window – Bi-gram, N-gram
Aplications of NLP
Introduction to the NLTK Library
Processing Raw Text
Normalizing Text
String Processing with Regular Expression
Extracting Features from Text
Bag-of-Words(BoW), TF-IDF

Project - Project on Text Document Classification using RNN

Topic Modelling

Intro to Gensim
LDA-Latent Dirichlet Allocation
NMF-Non negative Matrix Factorization
Intro to knowledge graph
Project using Topic Modelling(unsupervised text data)

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Data Science Prodegree

Online

9 Months

₹ 58000

Quick Facts

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Course and certificate fees

Fees information

certificate availability

certificate providing authority

Who it is for

Eligibility criteria

What you will learn

The syllabus

Excel

MS excel

SQL

Basics SQL

Advanced SQL - Part 1

Advanced SQL - Part 2

Python Programming

Intro to Python (Python Objects + List Comprehension)

User-defined and Lamda Functions

NumPy

Pandas

Data Frame Manipulation

Visualisation - Part 1

Visualisation - Part 2

EDA

Statistics for Data Science

Introduction to Statistics

Probability Theory

Probability Distributions

Hypothesis Testing

Statistical Tests

Machine Learning

Introduction to Machine Learning

Linear Regression using OLS

Project on Linear Regression

Optimisation Techniques

Linear Regression with SGD

Project - Vehicle Performance Prediction

Logistic Regression

Project - Vehicle Usage Prediction

Decision Trees

Project - Heart Disease Prediction

Random Forest

Project on Random Forest

K-means Clustering

Project on K-means Clustering

Hierarchical Clustering

Project on Hierarchical Clustering

Principal Components Analysis

Project on PCA

Time Series Modelling

Project on Forecasting

Cloud Basics

ML on Cloud

Deployment on Cloud

Data Visualisation with Tableau

Deep Learning

Artificial Neural Network (ANN)

Project - Close Value of Stock Prediction using Neural Network

KERAS

Project - Bank Credit Card Default Prediction using ANN on Keras

Tensorflow 2.0

Project - Image Classification with Keras and TensorFlow

Convolutional Neural Network(CNN)

https://short-courses.syracuse.edu/presentations/info/syracuse-women-as-business-leaders-online-short-course/

Recurrent Neural Network (RNN)

Project - Classify Consumer Product Complaints using RNN

Artificial Intelligence - NLP & Computer Vision

Natural Language Processing Part I -NLTK

Project - Textual Document Classification

Computer Vision

Project - Multi-class Classification of Flower Image

Advanced Computer Vision