Data Analytics Full Stack (Online)

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Data Analytics and Machine Learning approaches have redefined the way businesses across the globe now approach their data. Availability of large amount of data around the smallest of business activities has created opportunities that never existed earlier. Today the job market related to Data Analytics is on a surge, and with the digital revolution fueling this growth further, it is predicted to remain in high demand in the times to come.

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Data Analytics Full Stack (Online) Recorded Content + Live Mentor Sessions

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    About Data Analytics Full Stack (Online) Course

    In this four month blended course we pay equal emphasis on recorded content + live mentor-led sessions every week, so that you get proper handholding as you develop thorough understanding of the subject right from scratch. In these sessions you get an opportunity to clear all your doubts. You gain hands-on proficiency in executing the entire analytics life cycle from data preparation to model building and evaluation using the most popular and powerful tools such as R, Python and Tableau from scratch, with no pre-requisite of coding background. At the end of this course you will be ready to apply the knowledge gained to solve complex real world problems in an impressive way.

    What will you learn in this course?

    Analytics is the hottest job skill in the current times. You will start your analytics journey with refresher course in basic Statistics and Probability then you will learn Data visualization. You will understand the relevance of Hypothesis Testing in business decision making. Now comes the toughest task i.e. data cleaning, you will learn multiple approaches to prepare the data. Finally the model development piece where you will gain thorough understanding of the core concepts behind each technique and will be able to apply and evaluate using appropriate techniques to solve real world business problems.

    Who should do this course?

    This course is most suitable for:

    • Employed working professionals (across all experience brackets) who want to stay relevant in the changing times
    • Students of Science, Technology, Engineering and/or Management stream who aspire a leap start in their career
    • Business Intelligence, Business Development consultants

    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?

    Most important is your willingness to learn. No pre-requisite in terms of coding experience but understanding of basic mathematics and comfort in dealing with numbers will be helpful.

    Data Analytics Full Stack (Online) 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
    • Lecture4.4
  • 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
    • Lecture5.12
    • Lecture5.13
  • Machine Learning: Unsupervised Learning Techniques 0

    • Lecture6.1
    • Lecture6.2
    • Lecture6.3
    • Lecture6.4
  • Introduction To Python 5

    • Lecture7.1
    • Lecture7.2
    • Lecture7.3
    • Lecture7.4
    • Lecture7.5
  • Time Series Analysis 0

    • Lecture8.1
    • Lecture8.2
    • Lecture8.3
    • Lecture8.4
    • Lecture8.5
  • Capstone Project 8

    • Lecture9.1
    • Lecture9.2
    • Lecture9.3
    • Lecture9.4
    • Lecture9.5
    • Lecture9.6
    • Lecture9.7
    • Lecture9.8
  • Data Analytics Full Stack (Online) Certification

    Edazon trained participants work for some of the best organizations, below is a glimpse:


    Your Name

    Data Analytics Full Stack (Online)

    Program Director

    Course Instructor

    01/01/2020

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    Data Analytics Full Stack (Online) Features

    Self-paced pre-recorded content : 104 hours

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

    Case studies : 12

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

    Live online mentor connect : 36 hours

    Get your queries answered by a mentor during live interactions.

    Lifetime access

    You will always have access to this course and its subsequent updates.

    Quizzes : 10

    Test you proficiency.

    Graded assignments: 4

    Get custom feedback on your submitted assignments.

    Flexible Learning Schedule

    Choose convenient Weekdays/Weekend slots so that you can manage both work and learning simultaneously.

    Capstone Project

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

    Data Analytics Full Stack (Online) Reviews

    Average Rating

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    2 ratings

    Detailed Rating

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      Great Platform to Learn

      This is a great platform to learn data analytics. It helps me a lot in my studies.

      Very Nice Learning Platform

      Edazon has great material of the course. Learning Data Analytics was not easy but with the help of Edazon it became much easier to understand things and learn it properly.

    Data Analytics Full Stack (Online) FAQs

    What will be the mode of teaching?

    Edazon offers Data Analytics Full Stack course in blended mode, learners first go through the pre-recorded content and then attend live mentor-led doubt clearing sessions every week.

    Can you explain the benefits of the Edazon’s mentor led sessions?

    Mentor led sessions help you connect better with each topic by getting answers to your queries. These are very engaging sessions where additional examples and case studies are covered.

    Can I enroll in this program if I don’t have any prior knowledge of Data Analytics & Machine Learning?

    Yes, all our courses are designed keeping in mind diverse backgrounds of learners. Analytics is a techno-functional area wherein one needs to understand the business processes and apply desired modelling techniques on relevant data in order to facilitate better decision making.

    Do I need to have an IT / Computer Science / Engineering background to do the program?

    No. The training module is developed to help you learn right from the basics to advanced knowledge. Having an IT / Computer Science / Engineering background can be an added advantage to help you grasp faster. However, the program doesn’t require you to have such knowledge as a prerequisite.

    Do I need to have an Economics / Mathematics / Statistics background to do the program?

    No. The training module is developed to help you learn right from the basics to advanced knowledge. We start right from mean, median, mode, etc. Having an Economics / Mathematics / Statistics background can be an added advantage to help you grasp faster. However, the program doesn’t require you to have such knowledge as a prerequisite.

    What kind of projects are included as part of the training?

    Edazon is offering you the most updated, relevant and high value real-world projects as part of the training program. This way you can implement the learning that you have acquired in a real-world industry setup. These projects thoroughly test your skills, learning and practical knowledge thus making you completely industry-ready.

    If I enroll today, when shall I get access to the course?

    As soon as you enroll, the entire curriculum will be added to your account. Edazon provides its learners with immediate and lifetime access to every course

    Who are the instructors?

    All the instructors at Edazon are practitioners from the Industry with minimum 10-12 yrs of relevant experience. They are subject matter experts and are trained by Edazon for providing an awesome learning experience to the participants.

    What if I have more queries?

    You can Call us at +91 98765 53336 (India) / +1 (214) 556-3336 (US) OR Email us at info@edazon.com. We shall be glad to assist you

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