Course Duration

2 Months


10 + 2

Course Type


Class Duration

1 hour


5k + Tax

    Data Science Institute In Delhi     

Classes of Professional Studies is a top Data Science Training Institute in Delhi. With passing time and fulfilling the need of modern age professionals, Cops has become a prominent Data Science Certification Course provider in Delhi. Our only aim is to provide quality Data Science course at a very affordable fee. We have delivered our promise of making every individual associated with us into a Data Science professional.

Our Data Science course in New Delhi equip you with statistical and analytical skills. Moreover, the Data Science classes are focussed to provide you with SQL and Statistical Software Macros techniques. COPS’ Data Science faculty will assist you to gain expertise in Decision Tree, Clustering, Regression and Time Series.

By joining our interactive Data Science course you will learn the collection and transformation techniques of a huge amount of data in a more readable and accessible form. You will learn to grasp data patterns, recognizing new trends in analyzing business statistics with a flair of playing wisely with Python and R programming languages in the Best Data Science Training Institute in New Delhi.

    Why Take Data Science Classes ?    

Data Science classes at COPS would involve training in all domain-specific knowledge of data analytics with real-time scenarios. Taking Data Science classes is important as it improves your prediction and decision-making abilities for better business or employment prospects. Our mentors are industry experts with at least 5 years of experience in teaching Data Science. Most of them are currently associated with product-based companies like HCL, MasterCard, etc.

The curriculum offered by COPS for Data Science classes is specially designed to match industry expectations. Data Science training module keeps changing with time to time to include prevalent trends of the industry. Following are the course content we are offering:

    Statistics Fundamentals
  • Introduction
  • Curriculum Overview
  • Learning Methodology

    Introduction to Data Science
  • What is Data Science ?
  • Life Cycle of Data Science Projects
  • Analytics Language
  • Data Science Tools

    Statistical Learning
  • Central Tendency in Data
  • Measures of Dispersion
  • Skewness in Data
  • Probability Theory
  • Bayes Theorem
  • Hypothesis Testing

    Introduction to R Language
  • R Installation, R Studio
  • Data Structures in R
  • R Programming
  • R base Software
  • Logical Statements in R Vectors, Lists, and Matrices

  • Intro to Macros Variables
  • Automatic Macro Variables
  • User-Defined Macro
  • References
  • Macro Parameters

    Introduction to SQL
  • SQL Procedures
  • Specifying Columns and Rows
  • Presenting Data
  • Summarizing Data
  • Working with Subqueries
  • Indexes and Views
  • Set Operators

    Tableau Basics
  • Introduction
  • Working with Tableau
  • Data Organization
  • Advanced visualization
  • Mapping
  • Data Presentation

    Data Visualization Using R
  • Grammar of Graphics
  • Bar Charts
  • Histograms
  • Pie Charts
  • Scatter Plots
  • Line Plots and Regression
  • Word Clouds
  • Box plots

    Decision Trees
  • Intro to Predictive Modelling
  • Entropy & Information Gain
  • Overfitting Problem
  • Standard Deviation Reduction
  • Cross-Validation for Overfitting Problem
  • Running as a Solution

    Basics of Python
  • Intro to Python
  • Data Structures in Python
  • Control & Loop Statement in Python
  • Functions & Classes
  • Working with Data

    Data Frame Manipulation
  • Data Acquisition
  • Indexing
  • Selecting, Sorting and Filtering
  • Descriptive Statistics
  • Merging and Combining Data Frames
  • Removing Duplicates
  • Discretization and Binning
  • String Manipulation

    SAS Programming
  • What is SAS?
  • Key Features
  • Submitting the SAS Program
  • SAS Programming Syntax
  • Sorting and Grouping
  • Using SAS Formats

    Reading and Manipulating Data
  • Reading SAS Datasets
  • Reading Excel Data
  • Reading Raw Files
  • Reading Database Data
  • Creating Summary Reports
  • Combining Datasets

    Data Science: What is it ?    

With technology taking over the workspace, information stored as data is the most popular option for everyone. This is where Data Science steps into the equation. Data Science is a combination of algorithms, machine, and tools learning principles with an aim to locate patterns from the raw data. Professionals trained in Data Science will not only learn exploratory analysis but also learn to use several advanced machine learning algorithms. These skills enable you to identify the occurrence of an event in the near future. Therefore, Data Science is used to perform predictions and decision-making tasks.

    The Best Data Science Institute in Delhi    

Classes of Professional Studies is leaving behind all of its competitors with the most comprehensive three-months Data Science training module. Our course is beneficial for beginners also, who belongs to quantitative backgrounds like Maths, Finance, Business Management, Engineering and statistics. We provide intensive coverage of Data Science with Python, SAS Programming R language and data visualization with Tableau. Our project-based multi-tool Data Science course provides you with an intensive knowledge of most popular Data Science techniques which business analysts use to solve critical business problems.

We offer a complete online/offline analytical Data Science course to teach you analysis with SAS language, data exploring, data Cleaning, automation and reporting. We make our students job-ready with improved analytical skills.

Upon the completion of the Data Science training classes at COPS, candidates will receive an industry-endorsed certificate of achievement.

    Data Science Institute: Training Methodology    

Our Data Science Course put a strong emphasis on learning by practice. Our goal is to produce well-rounded, job-ready working professionals that can add value to any business. We practice our methodology in three steps:

    Step 1: Instruction Through Improvised Learning
  • We follow the virtual and classroom teaching methods to cater to your learning preferences.

    Step 2: Application Through Real-world Projects and Examples
  • We introduce real-life projects to our students to practice their learning in action.

    Step 3: Multi-level Assessments
  • Each training session is followed by quizzes and tests. You will the desired exposure to live-projects at the end of the course.

    The Best Data Science Institute: Why Choose COPS ?    

  • COPS has the best Data Science faculty with relevant experience in the field.
  • These experts have hands-on experience with various projects which come in handy while teaching students.
  • Regular assessments are done to ensure a higher quality of education.
  • We prepare our students to be interview-ready with our interview cracking sessions.
  • Our module is best in the industry covering all facets of Data Science.
  • More than 250 students have benefited from our course
  • We provide world-class infrastructure and efficient labs to students for practice.

Don’t Be the Most Talented in the Room

Be the Most Competitive

Push Yourself to Achieve More

data science course

Before it's too late...

 Online Workshop