Data Science Excellence Program (Classroom)

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Data Analytics is the most in-demand skill in today’s job market. With fanciest salaries and promising growth-path this has become a preferred job role of many young professionals, and with the digital revolution fuelling this growth further, it is predicted to remain in high demand in the times to come.

About Data Science Excellence Program (Classroom) Course

This four-month classroom program is offered in Chandigarh, you attend classes for 4 days a week, each day spending 3 hours in the classroom. This helps you develop thorough understanding of the subject right from scratch. In these classroom sessions you practice in the presence of your trainer who resolves your queries on real-time basis. You gain hands-on proficiency in using the most popular and powerful tools used by Data Analysts such as R, Python and Tableau from scratch, that too with no pre-requisite of coding background. At the end of this course you have an option to take-up a two-month capstone project where you will work on a real problem.

What will you learn in this course?

Classroom program covers every topic in great detail with the help of relevant case studies and industry examples. You will start your analytics journey with a refresher course in basic Statistics and Probability, then you will learn proper Data visualization. You will understand the relevance of Hypothesis Testing in business decision making. You will learn multiple approaches to prepare the data treatment of outliers, missing values, multicollinearity and other issues along with exploring the patterns in a dataset using Unsupervised Machine Learning Techniques. Finally, you will practice the Predictive Modeling piece where you will gain thorough understanding of the core concepts behind all popular algorithms and will be able to apply and evaluate them using appropriate model performance measures.

Who should do this course?

This course is most suitable for:

  • Final year graduates, freshers and professionals with less than 3 years of work experience.
  • Ideal choice for students with Science, Technology, Engineering, and Management background.
  • If you are looking for an early start or an early career switch to data science, this is the right course for you.

Why should you go for classroom training?

Learning in a classroom set-up always has its own merits. As you choose to take-up a new skill, you need proper handholding. At every step, your trainer is right there to resolve your queries.

Online learning is always more suitable for learners who are already employed full time and can’t spare time a classroom program will demand. For the early career professionals who are looking for a switch, for fresh out of college who are yet to be employed, and for final year graduation students, a classroom program any given day is much more beneficial compared to the online programs.

What are the skills you will gain with this course?

In this course you will learn how to perform:

Data Cleaning – Outlier treatment, missing value treatment, multicollinearity treatment

Data Visualization – Univariate, Bivariate and multivariate visualization using R, Python and Tableau

Supervised Machine Learning – Linear Regression, Logistic Regression, Linear Discriminant Analysis, CART, Random Forest, CHAID, KNN, Naïve Bayes’, Artificial Neural Networks, Recurrent Neural Networks, Convolutional Neural Networks, Support Vector Machines using both R and Python

Unsupervised Machine Learning – K-means Clustering, Hierarchical Clustering, Principal Component Analysis, Factor Analysis

Model Performance Measures – Confusion Matrix, ROC, AUC, KS, Gini and Concordance

What are the pre-requisites of this course?

No pre-requisite in terms of coding experience but understanding of basic mathematics and comfort in dealing with numbers will be helpful.

Data Science Excellence Program (Classroom) Curriculum

  • Statistics for Data Analytics 0

    • Lecture1.1
    • Lecture1.2
    • Lecture1.3
    • Lecture1.4
    • Lecture1.5
    • Lecture1.6
  • Introduction to Analytics 0

    • Lecture2.1
    • Lecture2.2
    • Lecture2.3
    • Lecture2.4
  • Introduction to R 0

    • Lecture3.1
    • Lecture3.2
    • Lecture3.3
    • Lecture3.4
    • Lecture3.5
  • Exploratory Data Analysis 0

    • Lecture4.1
    • Lecture4.2
    • Lecture4.3
  • Machine Learning: Supervised Learning Techniques 0

    • Lecture5.1
    • Lecture5.2
    • Lecture5.3
    • Lecture5.4
    • Lecture5.5
    • Lecture5.6
    • Lecture5.7
    • Lecture5.8
    • Lecture5.9
    • Lecture5.10
    • Lecture5.11
  • Machine Learning: Unsupervised Learning Techniques 0

    • Lecture6.1
    • Lecture6.2
  • Introduction to Python 0

    • Lecture7.1
    • Lecture7.2
    • Lecture7.3
    • Lecture7.4
    • Lecture7.5
  • Time Series Analysis 4

    • Lecture8.1
    • Lecture8.2
    • Lecture8.3
    • Lecture8.4
  • Optimization Techniques 5

    • Lecture9.1
    • Lecture9.2
    • Lecture9.3
    • Lecture9.4
    • Lecture9.5
  • Data Visualization using Tableau 10

    • Lecture10.1
    • Lecture10.2
    • Lecture10.3
    • Lecture10.4
    • Lecture10.5
    • Lecture10.6
    • Lecture10.7
    • Lecture10.8
    • Lecture10.9
    • Lecture10.10
  • Capstone Project 8

    • Lecture11.1
    • Lecture11.2
    • Lecture11.3
    • Lecture11.4
    • Lecture11.5
    • Lecture11.6
    • Lecture11.7
    • Lecture11.8
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    Data Science Excellence Program (Classroom) Certification

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    Data Science Excellence Program (Classroom) Features

    Live classroom training : 180 hours (4 months)

    Classroom training for 4 days and 3 hours a week.

    Self-paced pre-recorded content : 104 hours

    Learn as you find it convenient, access your course material anywhere anytime.

    Case studies : 20

    It is the application of what you learn that matters. Learn about how your skill is applied to solve real problems.

    Quizzes : 12

    Test you proficiency.

    Graded assignments: 6

    Get custom feedback on your submitted assignments.

    Capstone Project

    At the end of the course, a capstone project will help you put all that you have learned together.

    Job assistance

    Get feedback on you resume from industry experts, prepare for the job interviews, get job alerts.

    Data Science Excellence Program (Classroom) Reviews

    Average Rating

    5
    7 ratings

    Detailed Rating

    5 stars
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    4 stars
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      Exceptional course for freshers.

      I took up this course just after my graduation. The Data Science course provides a comprehensive and in-depth learning experience. The real case studies have really helped a fresher like me understand the business problem and proceed with correct business solutions.

      Kudos to Edazon Team & Mentors.

      I am glad that I took up this course from Edazon. The Trainers and whole team of Edazon were very cooperating and helpful. They address my concerns and queries very patiently and helped me in understanding each module step by step.

      Best training course.

      The entire Data Science Excellence Course is highly contended with good hands-on learning. This is the best program for beginners.

      Well organized classroom program.

      The course material is well structured and organized. The extensive set of training material both online and offline helped a lot. In summarization, the course is of excellent quality

      Excellent Trainers.

      I really liked the way Data Science Program is delivered to both the freshers and working professionals like me. The trainers had in-depth knowledge and great experience with business understanding and make us understand how to implement different solutions for different scenarios. I would highly recommend this course to my colleagues and friends.

    Data Science Excellence Program (Classroom) FAQs

    What is the duration of the Data Science Excellence Program?

    This is a 6 months training program including 2 months of capstone project work, wherein you attend classes for 4 days a week, each day spending 3 hours. The program is conducted at our Chandigarh center.

    What certificate will I get?

    Post the successful completion of the program, you will be awarded the Data Science Excellence Program Certification issued by Edazon Technologies.

    Who are the instructors at Edazon?

    All the instructors at Edazon are practitioners from the Industry with minimum 10-15 yrs of relevant experience.

    What is the fee of the Data Science Excellence Program?

    The fee of Data Science Excellence Program is INR 50,000 for working professionals, and INR 30,000 for full time students. For group registrations (5 or more participants) an additional discount of 10% will be applicable.

    Do you guarantee placements?

    We do NOT guarantee placements. We provide you complete guidance and an ideal platform to launch your career through resume building sessions, mock interviews, mentorships, interview preparation.

    What if I have more queries?

    You can Call us at +91 98765 53336 OR Email us at info@edazon.com. We shall be glad to assist you.

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