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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    EnglishSelf Study, Virtual Classroom, Campus Based/Physical ClassroomVideo and Text Based

    Course Overview

    Realizing the increase in data and demand due to digitalization in the Data Science space, the Data Science Course Training in Delhi focuses on enhancing the skills and abilities of students who are looking to become successful Data Science Professionals. 

    This Data Science Course Training in Delhi offers both virtual classroom sessions and self-paced training where students can choose their preferred style of learning. After the Data Science training course in Delhi is completed, students will gain expertise which is equal to a Data Science professional. Data Science Course Training in Delhi syllabus each and every concept of Data Science like Data Cleansing, Data Transformation, Data Collection, Data Mining, Data Extraction, Data Visualization, and so on. Also, it teaches several skills and techniques like Python programming, Machine Learning, Hypothesis Testing, Neural Networks, Regression Modelling, Microsoft Azure, R-programming, Statistical Analysis, and so on.

    Excel R has the best teaching faculty that ensures a masterclass learning experience for students. All the trainers are Data Scientists who are extremely skilled with over 15 years of experience. Most of the faculty are from prestigious institutions like IITs, IIMs, BITS Pilani, and so on. Students will get to work on various project works, assignments, and live-projects which will strengthen their technical skills and gain in-field experience. This Data Science Course Training in Delhi classes also provides an option for students to access e-learning such that students can watch the recorded sessions to recap and revise the topics or missed sessions. 

    Given the fact that Excel R is the best institution for Data Science certification Course Training in Delhi, it is highly-advantageous for students who want to start their career in the field of Data Science.

    The Highlights

    • Instructor-led training
    • Live classroom virtual sessions
    • Self-paced learning
    • Lifetime access
    • Dual certification by SGIT and Excel R
    • 6 months duration
    • In association with Steinbeis University
    • Placement assistance

    Programme Offerings

    • assignments
    • Peer support
    • Live Projects
    • E-learning
    • Webinars
    • Self-paced learning
    • instructor-led training
    • Post training support
    • Interview preparation sessions
    • Amount in INR Live virtual classroom.

    Courses and Certificate Fees

    Certificate AvailabilityCertificate Providing Authority
    yesFutureSkillsExcelR SolutionsSteinbeis Global Institute, Tubingen

    The table for the fee details is as follows:

    Fees componentsAmount
    Without IITM Pravartak Certification
    Rs. 54999
    With IITM Pravartak Certification
    Rs. 75999

    Eligibility Criteria

    Education

    The educational qualification for pursuing Data Science Course Training in Delhi is that students should possess technical knowledge of Python, R-programming, and SAS tools and mathematical skills. These are the important skill sets for course takers in order to learn this course.

    Certification Qualifying Details

    Upon the successful completion of the course, students must take an online exam conducted by SteinbeisUniversity and get a minimum of 60% to get the certificate of completion. It is a dual certificate from Excel R and SteinbeisUniversity which is a sign of excellence in the field of Data Science. Students will enjoy the alumni status of SGIT, SteinbeisUniversity.

    What you will learn

    Knowledge of deep learningMachine learningTableau knowledgeNatural Language ProcessingKnowledge of Apache SparkKnowledge of Python

    There is so much that students will extract from the Data Science Course Training in Delhi such as -

    • Many applications, theories, and concepts of  Data Science like Data Exploration, Feature Engineering, Building Prediction models, Data Visualization, Data Transformation, Data Integration, Data Mining, Data Cleansing, and so on.
    • Various additional skills and tools like Machine Learning, Neural Networks, Statistical Analysis, Hypothesis Testing, Deep Learning, Tableau, Predictive Modelling, Spark, Programming languages like R programming, Python, R Studio, Text Mining, Predictive Analytics, Natural Language Processing, Hadoop, Regression Modelling and so on to carry out different tasks.

    Who it is for

    The Data Science Course Training in Delhi is highly suggested for the following individuals such as -

    • Freshers with good math, analytical skills, problem-solving and logical reasoning who want to kick start their career in Data Science.
    • Qualified professionals in data warehousing, business intelligence, and reporting tools who want to polish their skills.
    • Data Scientists, Data Analysts, Research Analysts, Business Analyst Consultants, and so on who want to brush up on their expertise and get many perks like new opportunities, promotions, high salary packages, and so on.

    Admission Details

    The admission process to enroll in this course is direct and easy. It is advised that students should keep their payment details handy. 

    Students should follow certain steps to register for the  Data Science certification Course Training in Delhi is as follows -

    Step 1: Go to the course page on the official website of Excel R: https://www.excelr.com/data-science-course-training-in-delhi

    Step 2: Choose your preferred course option between self-paced training and live virtual classroom.

    Step 3: Enter coupon code and apply if you have one.

    Step 4: Click on ‘Proceed’ and log in to your Excel R account or register if you haven’t yet.

    Step 5: Fill in your credentials.

    Step 6: Choose your preferred payment option.

    Step 7: Fill in your payment details.

    Step 8: Click on ‘Make a Payment’ and confirm the payment.

    Step 9: After the transaction is completed, you can have access to the course.

    The Syllabus

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Data Science

    Core Python

    Core Python

    Core Python

    Core Python

    Core Python

    Core Python

    Core Python

    Core Python

    Core Python

    Core Python

    Core Python

    Core Python

    Core Python

    Tableau
    • What is Tableau ?
    • What is Data Visulaization ?
    • Tableau Products
    • Tableau Desktop Variations
    • Tableau File Extensions
    • Data Types, Dimensions, Measures, Aggregation concept
    • Tableau Desktop Installation
    • Data Source Overview
    • Live Vs Extract

    Tableau
    • Overview of worksheet sections
    • Shelves
    • Bar Chart, Stacked Bar Chart
    • Discrete & Continuous Line Charts
    • Symbol Map & Filled Map
    • Text Table, Highlight Table
    • Formatting: Remove grid lines, hiding the axes, conversion of numbers to thousands, millions, Shading, Row divider, Column divider Marks Card

    Tableau
    • What are Filters ?
    • Types of Filters
    • Extract, Data Source, Context, Dimension, Measure, Quick Filters
    • Order of operation of filters
    • Cascading
    • Apply to Worksheets

    Tableau
    • Need for calculations
    • Types: Basic, LOD's, Table
    • Examples of Basic Calculations: Aggregate functions, Logical functions, String functions, Tablea calculation functions, numerical functions, Date functions

    Tableau
    • LOD's: Examples
    • Table Calculations: Examples

    Tableau
    • What is Data Combining Techniques ?
    • Types
    • Joins, Relationships, Blending & Union

    Tableau
    • Dual Axis
    • Combined Axis
    • Donut Chart
    • Lollipop Chart
    • KPI Cards (Simple)
    • KPI Cards (With Shape)

    Tableau
    • What are Groups ? Purpose
    • What are Bins ? Purpose
    • What are Hierarchies ? Purpose
    • What are Sets ? Purpose
    • What are Parameters ? Purpose and examples

    Tableau
    • Reference Lines
    • Trend Line
    • Overview of Dashboard: Tiled Vs Floating
    • All Objects overview, Layout overview
    • Dashboard creation with formatting

    Tableau
    • Actions: Filter, Highlight, URL, Sheet, Parameter, Set
    • How to save the workbook to Tableau Public website ?

    Mysql

    Mysql

    Mysql

    Mysql

    Mysql

    Mysql

    Mysql

    Mysql

    Mysql

    Mysql

    Mysql

    Mysql

    Mysql

    Mysql

    Mysql

    MLOps

     

    MLOps

    MLOps

    MLOps

    ChatGPT

    ChatGPT

    ChatGPT

    ChatGPT

    ChatGPT

    ChatGPT

    Artificial Intelligence
    • 1. Linear Algebra: Vectors, matrices, dot product, matrix multiplication
    • 2. Calculus: Derivatives, partial derivatives, chain rule (for backpropagation)
    • 3. Review on ANN

    Artificial Intelligence
    • 1. What is Gradient Descent in detail? Connectivity of Calculus in Back propagation. Weight & Bias Updates,
    • 2. Types of Loss functions(MSE, Binary Cross entropy (Binary & Muliti)
    • 3. Overfitting Solutions(Dropout, Early stopping)
    • 4.Types of Optimizers and acitvations functions its applications
    • 5. Example Case study

    Artificial Intelligence
    • 1. CNN,DeepConvolutionModel,DetectionAlgorithm, CNN FaceRecognition
    • 2. Working on MNIST data set

    Artificial Intelligence
    • 1. Introduction to Web Scraping & Web Basics,
    • 2. Python Libraries for Web Scraping (requests, BeautifulSoup)
    • 3. HTML & Web Page Structure Basics

    Artificial Intelligence
    • Selecting a website and extract the data
    • 1. To Extract Image, Reviews, Ratings, and Price Tags
    • 2. Store in Structured Format
    • 3.
      • a) Image classfication from images
      • b) Sentiment analysis from Reviews
      • c) Regression model from Prices.

    Big Data

    Big Data

    Big Data

    Big Data

    Big Data

    Big Data

    Big Data

    Big Data

    Big Data

    Big Data

    Azure

    Azure

    Azure

    Azure

    Azure

    Basic Of R

    Basic Of R

    Basic Of R

    Steinbeis University, Berlin Frequently Asked Questions (FAQ's)

    1: Does this course offer any prerequisites?

    There isn’t any prerequisite included in this course. But, it is recommended that students must have good command over mathematics, critical thinking, analytical skills, communication skills, Python, R, and SAS tools.

    2: How long is this course?

    The duration of this  Data Science Course Training in Delhi is 6 months such that students will get ample time to learn concepts.

    3: What is the minimum score required to pass the online test after the course completion?

    Students must get a minimum of 60% to pass the exam. However, it varies from course to course.

    4: What is the specialty of the certificate?

    The certificate is a dual certificate provided by Steinbeis University and Excel R. It is a true symbol of excellence in Data Science Space. This certificate has a global recognition that fetches several new opportunities, placements, and so on. Also, students will enjoy the alumni of SGIT.

    5: Is this a free course?

    No, students must pay the  Data Science Course Training in Delhi fee in order to pursue this course.

    6: What are the different course types?

    There are two-course options. Live virtual classroom and self-paced learning. Students should choose from these options.

    7: What if I miss any lectures?

    This course offers an e-learning feature where students can access the missed lectures or recap and revise the previous concepts.

    8: Can I pay the course fee through EMI?

    Students can avail of monthly EMI on all major credit cards at a zero interest rate.

    9: Will, I get any placement guidance?

    Yes, students will get job assistance after the completion of the course. 

    10: Do I need any additional skills to study this course?

    Students must have a good grip on mathematics, problem-solving skills, analytical skills, Python, R, SAS tools, communication skills, and critical thinking skills.

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