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Foundation & Advance Course on Data Science & Analytics


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Data Science and Its Growing Importance


An interdisciplinary field, data scientists deals with the science, processes and systems that are used to infer knowledge or insights from large amounts of data.

Data extracted can be either structured or unstructured. Data science is a continuation of data analysis fields like data mining, statistics, predictive analysis, etc. A vast field, data science uses a lot of theories and techniques that are a part of other fields like information science, mathematics, statics, chemometrics and computer science.

Some of the methods used in data science includes probability models, machine learning, signal processing, data mining, statistical learning, database, data engineering, visualization, pattern recognition and learning, deep learning, uncertainty modelling, computer programming among others.

With advancements of so much of data, many aspects of data science are gaining immense importance, especially big data, machine learning and deep learning. It’s a well-known fact that data science and analytics are amazing fields to get into the present moment. In the midst of COVID - 19, the Industry is seeing an expansion in the number of analytics and data science employment. McKinsey assesses that India will need approximately 2 lakh data scientists in the coming couple of years. Consider the quantity of data scientists the world would require?

Being in the field of technology learning for over 17 years, we have distinguished, that of late, organizations are widely employing data scientists due to the critical outcomes accomplished by data-driven decision making. Wipro as of now has 8,000 individuals in analytics task. Maybe, Wipro isn’t the just one. There are various more organizations acquiring data scientists in increasing numbers. We have gone over some main ten data science recruiters which can assist you with landing a lucrative job.


About the Course


  • Data Science fundamentals and its importance in modern business
  • Data Science process, life cycle and data capture and acquisition
  • Analysis, experimentation, evaluation, and project deployment tools
  • Different Machine Learning algorithms
  • Predictive analytics and segmentation using clustering
  • Big Data Analytics, Hadoop framework
  • Roles and responsibilities of a Data Scientist
  • Using real-world datasets to deploy recommender systems
  • Working on data mining and data manipulation
  • Application of Machine Learning
  • Integration of Data Science with Big Data, Cloud, IoT

  • Technical graduates
  • Finance graduates
  • MBA students
  • Economics students
  • Information Architects and Statisticians
  • Developers looking to master Machine Learning and Predictive Analytics
  • Big Data, Business Analyst, and Business Intelligence professionals
  • Aspirants looking to work as Machine Learning experts, Data Scientists, etc.

  • Data Scientist is the best job in the 21st century – Harvard Business Review
  • The number of jobs for all data professionals in the United States will increase to 2.7 million – IBM
  • Global Big Data market achieves US$122 billion in sales in 6 years – Frost & Sullivan

The demand for Data Scientists far exceeds the supply. This is a serious problem in a data-driven world that we are living in today. As a result, most organizations are willing to pay high salaries for professionals with appropriate Data Science skills.

Data science training online will help you become proficient in Data Science, R programming, Data Analysis, Big Data, and more. Thus, you can easily accelerate your career in this evolving domain and take it to the next level.

In the United States, the average salary of a Data Scientist is US$112,957. The average salary of Data Scientists in India is ₹853,191.

Many top companies hire Data Scientists. A few of them are Amazon, Google, IBM, Facebook, Microsoft, Walmart, Target, Visa, Bank of America, Accenture, Fractal Analytics, etc.

Salient Features: Training under Data Science Engineers.
Dedicated TA – people doing research in Data Science.
Real time data access.
Real time Projects.

Course OutLine

  • Module 01 - Introduction to Data
  • Science with R and Python
  • Module 02 - Data Exploration
  • Module 03 - Data Manipulation
  • Module 04 - Data Visualization
  • Module 05 - Introduction to Statistics
  • Module 06 - Machine Learning
  • Module 07 - Linear Regression Basics
  • Module 08 - Understanding Error Function
  • Module 09 - Gradient Descent and Normal Equation
  • Module 10 - Logistic Regression
  • Module 11 - Python programming for ML: Coding using Numpy, Matplotlib, Panda and Scilearn
  • Module 12 - Building Linear Regression Model
  • Module 13 - Unsupervised Learning
  • Module 14 - Case Studies
  • Module 15 - Project
  • ₹ 15,000 (50% Scholarship) –> ₹ 7,500 (If you enrol by 18th June)

    If you enrol on the day of webinar – additional ₹ 2000 discount

    Fees ₹ 5,500

Salient Features: Training under Data Science Engineers.
Dedicated TA – people doing research in Data Science.
Real time data access.
Real time Projects.

Course OutLine

  • Module 01 - Introduction to Data
  • Science with R and Python
  • Module 02 - Data Exploration
  • Module 03 - Data Manipulation
  • Module 04 - Data Visualization
  • Module 05 - Introduction to Statistics
  • Module 06 - Machine Learning
  • Module 07 - Linear Regression Basics
  • Module 08 - Understanding Error Function
  • Module 09 - Gradient Descent and Normal Equation
  • Module 10 - Logistic Regression
  • Module 11 - Python programming for ML: Coding using Numpy, Matplotlib, Panda and Scilearn
  • Module 12 - Building Linear Regression Model
  • Module 13 - Estimating Error
  • Module 14 - Gradient Descent
  • Module 15 - Decision Trees and Random Forest
  • Module 16 - Unsupervised Learning
  • Module 17 - Association Rule Mining and Recommendation Engines
  • Module 18 - Introduction to Artificial Intelligence
  • Module 19 - Time Series Analysis
  • Module 20 - Support Vector Machine (SVM)
  • Module 21 - Naïve Bayes
  • Module 22 - Text Mining
  • Module 23 - Case Studies
  • Module 24 - Project
  • ₹ 40,000 (50% Scholarship) –> ₹ 20,000 (If you enrol by 18th June)

    If you enrol on the day of webinar – additional ₹ 5000 discount

    Fees ₹ 15,000

Salient Features: Training under Data Science Engineers. Dedicated TA – people doing research in Data Science. Real time data access. Real time Projects.

Course OutLine

  • Module 01 - Introduction to Data Science with R and Python
  • Module 02 - Data Exploration
  • Module 03 - Data Manipulation
  • Module 04 - Data Visualization
  • Module 05 - Introduction to Statistics
  • Module 06 - Machine Learning
  • Module 07 - Linear Regression Basics
  • Module 08 - Understanding Error Function
  • Module 09 - Gradient Descent and Normal Equation
  • Module 10 - Logistic Regression
  • Module 11 - Python programming for ML: Coding using Numpy, Matplotlib, Panda and Scilearn
  • Module 12 - Building Linear Regression Model
  • Module 13 - Estimating Error
  • Module 14 - Gradient Descent
  • Module 15 - Decision Trees and Random Forest
  • Module 16 - Unsupervised Learning
  • Module 17 - Association Rule Mining and Recommendation Engines
  • Module 18 - Introduction to Artificial Intelligence
  • Module 19 - Time Series Analysis
  • Module 20 - Support Vector Machine (SVM)
  • Module 21 - Naïve Bayes
  • Module 22 - Text Mining
  • Module 23 - Perceptron Networks and Deep Networks
    I. Understanding Perceptron Networks
    II. Deep Learning basics
    III. Convolution Network in Action
    IV. Implementing CNN using Tensorflow
  • Module24 - Tensorflow with Keras
    I. Build a neural network that classifies images
    II. Text Classification for Movie Reviews
    III. Predict fuel efficiency
  • Module 25 - Recurrent Neural Network & LSTM
    I. Understanding Recurrent Neural Network
    II. LSTM Networks
    III. Reducing the vanishing gradient problem
    IV. Recurrent Neural Networks (RNN) with Keras
  • Module 26 - Autoencoders and Generative Adversarial Networks (GAN)
    I. Applied Deep networks using Autoencoders
    II. Implementing Autoencoder using Tensorflow
    III. Developing Deep generative models using Generative Adversarial Networks IV. Using Tensorflow for building GANs
  • Module 27 - Deep Networks in Practice
    I. Understanding and Implementing Image Segmentation using U-Net
    II. Deep learning to compose images using VGG Net.
    III. Understaning COVID-Net
  • Module 28 - Case Study
  • Module 29 - Project
  • ₹ 60,000 (50% Scholarship) –> ₹ 30,000 (If you enrol by 18th June)

    If you enrol on the day of webinar – additional INR 5000 discount

    Fees ₹ 25,000

I. Bike Share Data Analysis
II. Chicago Crime Data Analysis
III. Chocolate Bar Rating Data Analysis
IV. Indian Socio Economic Data Analysis
V. IPL Match Data Analysis
VI. Data Analysis on Suicide In India
VII. Data Analysis On News Record
VIII. Sentiment Analysis  on Twitter Data
IX. Data Analysis on India Air Quality
X. Twitter Sentiment Analysis using nltk.classify.naivebayesclassifier
XI. MNIST Handwritten digits classification with over 97% accuracy using KneighborsClassifier
XII. Diagnosing Breast Cancer with the k-NN Algorithm
XIII. Filtering Mobile Phone Spam with the Naive Bayes Algorithm
XIV. Identifying risky bank loans using CART/C5.0 decision trees
XV. Identifying poisonous mushrooms with rule learners
XVI. Predicting Medical Expenses using Linear Regression
XVII. Predicting Wine Quality using Wine Quality Dataset with Regression Trees and
Model Trees
XVIII. Modelling the Strength of Concrete with ANNs
XIX. Large Image classification using state of the art pertained CNN like inception v3 and
transfer learning
XX. Learn to build Recommender Systems with Movielens Dataset
XXI. Weather Prediction
XXII. BigMart Sales Prediction ML Project – Learn about Unsupervised Machine
Learning Algorithms
XXIII. Sales Forecasting using Walmart Dataset
XXIV. Stock Prices Predictor
XXV. Boston Housing Price Prediction ML Project
XXVI. Human Activity Recognition using Smartphone Dataset
XXVII. Email classification
XXVIII. Investigate Enron
XXIX. Improve Health Care
XXX. Cancer Cell Detection
XXXI. Diabetic Prediction
XXXII. Social Network Analysis
XXXIII. Crime Data Analysis
XXXIV. COVID – 19 Trend Analysis
XXXV. COVID – 19 Symptoms Analysis


Anything from ‘A’ to ‘Z’ with a grin, obviously, it is one of the best online business organizations around the world. Amazon plainly comprehends the intensity of data as it endows totally on data scientists for its core operations from marketing streamlining, logistics and inventory management to sales expectation even HR analytics. That is the reason Amazon is the most loved spotter for data scientists. The cherry on the cake is, it is effectively searching for talented data scientists for its different workplaces in India.

Busigence is a data intelligence organization which makes top information products that aid in augmenting individual’s decision capabilities. They have planned a self-learning-self-service smart framework. Over the recent 6 years, they have created 3 products to be specific EmmoQ, Robonate and Humanizer. Begun in 2012, Busigence is headquartered in Chicago with its Indian center at Bengaluru. It was established by Pranav and Prashant who were driven by a simple idea” Information isn’t knowledge and knowledge isn’t wisdom”.

If we talk about analytics service providers, at that point Fractal Analytics gets the main spot in India. Fractal has an overall impression of serving Fortune 500 organizations across enterprises of innovation, retail, and insurance, simply to give some examples. If you are enthusiastic about providing custom-built analytics solutions for huge aggregates across businesses then I am certain you will essentially adore working with Fractal. Right now, the organization is broadly enlisting data scientists for every one of its workplaces in India.

Numerous individuals don’t know about the fact that “Data Science” term was coined at LinkedIn itself by Dr. DJ Patil and Jeff Hammerbacher in 2008. It is a professional social networking platform and a standout amongst the most wanted organization for data scientists. At LinkedIn, you will perform core activities of data science which is extricating concealed insights from colossal data sets and structure data-driven methodologies for business development.

Sigmoid is one of the fastest developing product based Big Data organizations in India. It is pointed towards helping companies in settling on a data-driven decision through too quick insights at petabyte scale. Sigmoid was established in 2013 and rose as a key player in the advanced analytics field. It is upheld by Sequoia capital, experienced experts and counselors.

Flipkart is one of the nearest contenders for Amazon in India, by what method can Flipkart lag behind even for employing data researchers. It’s developing multi-folds and with the expanding amount of information, they are broadly employing data scientists. As a data scientist, you will mostly deal with essential information insights and refining Net Promoter Score. At present, they are employing data scientists in the Analytics division.

Mate labs have developed a product called Mateverse which makes it simple for Data Science new kids on the block to utilize ML in their projects and applications. Essentially, they have made ML and deep learning accessible for all. With Mateverse’s easy interface, clients can make and train models which can without much of a stretch be executed into their program utilizing a couple of API calls. They are taking care of an exceptional issue of algorithm and hyperparameter choice. They are looking for data scientist professionals who have a strong foundation in Machine Learning applications.

Since 1911, IBM is famously known for serving customers overall providing compelling innovation solutions as well as counseling. If you are keen on identifying, integrating and overseeing gigantic volumes of data to extricate operational insights and thinking of powerful solutions, at that point IBM is hanging tight for you.

Couture is a customised AI platform that enables biggest worldwide companies to execute explicit vertical targeted products expand over their patent-pending ML and deep learning innovations. Companies like Reliance Jio and various European retailers have effectively authorized their product to enable real-time custom fitted experiences for their 200 million + end users. Shobhit Agarwal, Cofounder and CTO-Couture.ai is effectively searching for intelligent data science people with mastery in Tensorflow, Spark, Kafka, Kubernetes, ElasticSearch/Solr, Druid or Statistics.

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