• My account


Data Science Spl.

Review (0)


Data Science starts from EDA (estimated data analysis) and covers all the techniques for analytics keeping in mind weather it will be logistic or Linear.

25 Sessions
200 Hours

Skills you will master

Base SAS
Linear regression
Logistic Regression
Random Forest
Advance sas
SAS Macros
SAS Report
Data Visualization
Predictive Modeling
Predictive Analytics
Time Series
Customer segmentation
Decision Tree


Mob : +91-9810600764
Address : M8, Lower ground Floor, Sector 14 OLD DLF Gurgaon 122001
Email : info@palin.co.in


About The Program
The data science is designed by Data Scientists keeping in mind of upcoming industry requirement and latest trend to fulfill the pool of manpower. It enhance your technical, conceptual as well as the logical approach towards data, which helps you to understand the data as well as to get insights of it. This program gives you the high quality content to analyze after collection of data from different sources like sensors, web, mobiles and social media using various statistical and machine learning algorithms. Data science training is a Flight to a better career path


During this training participants would be able to use data mining, cleaning n preparation techniques using excel and then slowly switch over the most demanding platforms R and SAS will be able to use various data analytics concepts quantitative and qualitative research consist in respect to data collection, data sample, data analysis…


During this training participants

During this training participants

After the completion of the course you will be able to crack the interviews with most of the renowned organizations like Accenture, IBM, Dunnhumby, EXL, Bank of America, American Express, Fractal Analytics, Cognizant and many more. It’s a 100 hours instructor Led training and unlimited access of training material, recordings, assignments, projects.
Data Science courses in gurgaon
Career Advisor
Nitesh Saharan , Consultant
Palin Delivers real world relevance with activities and assignments that helps students build critical thinking and analytic skills that will transfer to other courses and professional life.
Program Description
Data science master program is made keeping in mind the profile that most of the corporate are asking for a data scientist. It includes advance excel for data mining purpose and sql for communication with database. SAS and R are platforms to use for analytics using modeling techniques which are used for cluster analysis, time series analysis, market basket analysis and regression. Machine learning algorithm are also added to the course keeping in mind the requirement of industry to include artificial intelligence into analytics. For data visualization and reporting we use tableau. To work with different domains like finance, marketing, ecommerce, banking, insurance, aviation and even games also.
Program Preview

Click Here to Preview

   Session 01

- What is Data Analytics & Data Science
- Different types of Data Analytics (Descriptive, Predictive, Prescriptive)
- What is Artificial Intelligence
- What is IOT
- Machine Learning (Supervised & Unsupervised Learning)
- Deep Learning (Artificial Neural Networks, CNN)
- Overview of Banking, Healthcare, Telecom domain
- Working with multiple data sources – RDBMS (SQL Server, Oracle, My SQL, DB2), NOSQL (MongoDB, Cassandra, CouchDB)
- Real world Applications of Machine Learning & Deep Learning
- What to expect from this course (Salary, Market trends, job roles, Domain)

   Session 02

- Excel Tables
- Slicers
- Pivot Tables
- Power Pivot
- Flexible data aggregation using pivot tables and pivot charts to create Dashboards
- Data Filter in Pivot to get Subsets of data & Advance Charts
- Reporting Layouts using formulas to aggregate the data as an alternative to Pivot Tables.

   Session 03

- Data Gathering & Transformation from multiple sources.
- Discover and combine data in mashups
- Data model creation
- Data Exploration, Analysis and Visualisation

   Session 04

- Introduction to SQL
- Fundamentals of SQL
- Joins
- Functions

   Session 05

- Complete Practical Session on SQL

   Session 06

- Data Structure
- Data Management

   Session 07 - 08

- Report Generation
- Proc SQL (Structured Query Language)

   Session 09

- SAS Procedures

   Session 10 - 11

- SAS Macros

   Session 12

- R Programming
- Data Importing

   Session 13 - 14

- Data Manipulation in R
- Data Exploration in R
- Data Visualization in R

   Session 15 - 16

- Fundamentals of Statistics
- Data Prep and Reduction techniques
- Basic Analytics

   Session 17

- Customer Segmentation & Unsupervised Learning

   Session 18

- Regression Modeling

   Session 19

- Predictive Modeling & Forecasting

   Session 20

- Data Mining: Decision tree and Random Forest

Read More
Program Highlights
Live interactive and classroom training will include the practical approach and assessments on regular basis.
Live Case Study
Domain Specific Live interactive case study using industry specific data, problem statements, solution architecture.
Assignments which helps in conceptual understanding, Prepared for interview training & techniques.
Lifetime Access
Class recording, Study material ppt’s, pdf, assignments, datasets, case studies can be accessed through out the lifetime.
24 X 7 Support
We will support If any concern is raised related to the training, assignments, projects, case studies & interview questions.
After successful completion of the training and case study Palin will certify you as Palin certified Data Scientist.
Career Counselor
Avail career guidance and Professional guidance for resume building, unlimited opportunities and interviews.

Highly motivated with leadership skills having Master’s Degree in Statistics. Holds good working experience in different domains like Retail, Banking, Healthcare FMCG, Marketing analytics using SAS, R, Python, STATA.
   Who can opt for Data Science??
It is suitable for everybody from Science Graduates and Post-Graduates, to Engineers and to MBAs. This is an ideal field for those with a background in mathematics, probability, computer programming, data structures, and algorithms and has a strong interest in manipulating large data sets, finding patterns in data, and making predictions.
   What is Data Science?
Data science is a process of exploring large, complex and varied data sets to reveal hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations to take calculated risks, find meaningful insights and convert those into actions to be taken. Savvy data scientists are professionals with training and curiosity to make discoveries and quantitative decisions in the world of big data.
   What are future prospects of Data Scientists?
Employers are hiring data scientists in every industry. Thousands of data professionals have made their mark at both startups and well-established companies. Global demand for data science and computing expertise exceeds supply, with predictions of a major shortage of analysts for at least in next 10 years. For Data Scientist, this presents a high potential employment opportunity. As a field that is gaining significance across industries, data science isn’t going anywhere any time soon.
   Any pre-requisite for Data Science?
There is no such prerequisite for data science. No prior advanced mathematical training beyond an introductory statistics is necessary. Introduction to data science is for anyone with a basic understanding of data analysis techniques and anyone interested in improving their ability to tackle problems involving multi-dimensional data in a systematic, principled way. A familiarity with a programming language is helpful, but not necessary.
   What all tools will be covered in Data Science?
Our course will cover full process of data science right from fetching data from traditional database using SQL to data mining, data cleaning or data preparation using Excel. The structured data is then imported using SAS & R wherein the Predictive Analytics techniques including basic stats or modeling and machine learning algorithms are implemented. Data Visualization tool Tableau helps in creating data reports and dashboards. Hence, the Data Science comprises of Excel, SQL, SAS, R, Predictive Analytics, Machine Learning and Tableau.
   Is this a classroom training or online?
Palin conducts both online and classroom training.
   Which is more beneficial to me, classroom or online?
Everyone has their own preference towards classroom or online training. We believe online classes are more beneficial as one can record the sessions and can access anytime later for reference. In online session one just need a laptop and internet connection can easily access the online session as per their convenience.
   After course completion, for which companies I will be eligible to apply?
As businesses around the globe accumulate more data than they can manage with existing infrastructure, we are seeing jobs expand from large companies (like Deloitte, Mercer, TCS, Accenture, Cognizant, IBM, Amex, RBS, UHG, WNS, Fractal Analytics, HSBC and many more) to the Healthcare industry, Banking, Ecommerce, Retail, Marketing, and Telecom.
   What are pay packages for fresher in Data Science?
An entry-Level Data Scientist in industry earns an average salary of Rs 579,714 per year. The highest paying skills are Predictive Modeling with SAS & R.


There are no reviews yet.

Be the first to review “Data Science Spl.”

Your email address will not be published. Required fields are marked *

Latest News

Emerging Future of Data Scientists
Data scientists will live one of the accomplished and encouraging careers prospective of all IT employment through 2020. Healthcare, Banking and Telecom industries are the...Read More
Average Salary of A data scientist and related profiles
The national average salary offered to data scientists and their related position is ₹ 6,50,000.Read More
Benefits of Data Science using SAS & R
Banking and Healthcare industry has been using SAS for years because SAS is licensed software which guarantees the accuracy of its results and its safer...Read More
Python Overtakes R
Python overtakes R, becomes the leader in Data Science, Machine Learning platforms. While in 2016 Python was in 2nd place ("Mainly Python" had 34% share...Read More
What are benefits of python
Simple and easy to learn and understand. Performance is very fast and attractive. Python works with all different data formats. We can directly import SQL...Read More
Python Data Scientists Average Salary
The average salary offered to data scientists in the past year was £47,000, with Python being the most desirable programming language, according to an analysis...Read More
Python Vs Julia
Python vs Julia Python is a general-purpose computing language that is easy to learn, and that has developed into a leading language for scientific computing....Read More
Quick Enquiry
close slider