I’m Interested in This Program

  • I authorize the representatives of Acadgild to contact me. This overrides registry on DND/ NDNC.
  • This course includes
  • - 120 hours of live classroom
  • - 200 Hours of Industry Cases & Projects
  • - 24 X 7 Coding Support
  • - Gamified Learning
  • - Lifelong Access to Course Material
  • - International Certification
  • - Job Assistance

ONLINE COURSE FEES
1,299

DATA SCIENCE MASTERS COURSE
with python, Machine Learning, Deep Learning & TensorFlow

Course Overview

4.2(34)

  • Intensive 6-Month Program
  • Collaborative Assignments with Mentors
  • Master Statistics, Machine Learning, Deep Learning, and AI
  • Learn Tools like Python, TensorFlow, Spark, R, and Tableau
  • DURATION 24 Weeks
    EFFORT 10-15 Hrs/Week
    CAREERS Business Analyst, Data Analyst, Data Architect, Data Administrator, Data Manager, Data Scientist

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    Why You Should Take This Course

    75 LAKH

    Average Salary

    Data scientists with five years’ experience make five times as much as their engineering and accountant counterparts.

    2,00,000

    Data Scientists Needed

    India is set to face an acute shortage of professionals until 2020.

    “Sexiest Job of the 21st Century”

    Harvard Business Review

    Data scientists are prime assets for organizations.

    How this course can transform your Career

    Acadgild Experience

    Orientation

    Getting you up to speed

    Intial Phase


    Live Mentor
    Sessions

    Career Preperation

    • Interview Questions
    • Mock Interview
    • Online Reputation Building
    • Networking

    Second Phase


    Live Mentor
    Sessions

    Career Preperation

    • Interview Questions
    • Mock Interview
    • Online Reputation Building
    • Networking

    Final Phase


    Live Mentor
    Sessions

    Career Preperation

    • Interview Questions
    • Mock Interview
    • Online Reputation Building
    • Networking

    Corporate Partners

    Mentorship by Leading Experts

    Mentorship by Leading Experts

    What You Will Learn in This Course

    • Python & R basics
    • Conditional and loops
    • String and list objects
    • Functions & OOPs concepts
    • Exception handling
    • Database programming
    • * Sessions on R are not live, but self-paced

    • Reading CSV, JSON, XML and HTML files using Python
    • NumPy & pandas
    • Scipy libraries
    • Loading, cleaning, transforming, merging, and reshaping data

    • Descriptive statistics
    • Inferential statistics
    • Hypothesis testing
    • Statistical concepts in Python

    • Building models using below algorithms
    • Linear and logistics regression
    • Decision trees
    • Support vector machines (SVMs)
    • Random forests
    • XGBoost
    • K nearest neighbour & hierarchical clustering
    • Principal component analysis
    • Text analytics and time series forecasting

    • Introduction to deep learning
    • Understanding neural network through TensorFlow
    • Convolution & recurrent neural networks

    • Interactive visualizations with Matplotlib,
    • Data visualizations using Tableau
    • Tableau dashboard and story board
    • Tableau and R integration
    • * Sessions on Tableau are not live, but self-paced

    • Introduction to Big Data & Spark
    • RDD's in Spark, data frames & Spark SQL
    • Spark streaming, MLib & GraphX

    Our Course in Comparison

    FEATURES acadgild logo OTHER VIRTUAL
    LIVE CLASSES
    SELF PACED
    COURSES
    Duration 24 Week 10-12 Weeks 4-6 Weeks
    Live Training Hours 120 40 -
    Total Coding Hours 200 100-120 40-50
    Projects acadgild logo acadgild logo acadgild logo
    Gamified Dashboard acadgild logo Rarely provided acadgild logo
    Lifetime Access to Dashboard acadgild logo acadgild logo acadgild logo
    24x7 Coding Support acadgild logo Rarely provided acadgild logo
    Job Assistance Program acadgild logo Rarely provided acadgild logo
    Portfolio Development acadgild logo acadgild logo acadgild logo
    Pricing 1,299 2000 - 5000 25 - 50

    FAQs

    The course teaches statistics for business analysis, machine learning algorithms, deep learning with TensorFlow, and programming with Python. It will help you explore, analyze, and interpret different kinds of data.


    The course is suited for anyone with a zeal to learn about data science. It is ideal for aspiring data scientists from different backgrounds. Our students are generally analysts, developers, managers, information architects, researchers, and other working professionals looking to advance in the field of data science.


    Prior knowledge of Python and statistics is useful. Nonetheless, these are covered in the course as well.


    • Microsoft® Windows® 7/8/10 (32- or 64-bit).
    • 4GB RAM minimum, 8 GB RAM (recommended).
    • i3 or higher processor.
    • Internet speed: Minimum 1 Mb/s.
    • Intel® VT-x (Virtualization Technology) enabled.


    Data scientists work with data according to business needs. They are responsible for data analysis. Big data developers design and implement programs that make the analysis possible.


    The course will take 10-15 hours of your time every week.


    Yes, you may. Our curriculum is comprehensive and will make you capable to create your own project. Our support staff is also committed to help you along the way. Alternately, you can work on one of the projects in our repertoire to implement what you learn.


    All sessions are recorded and uploaded to the course dashboard for you to access at your convenience.


    Our mentors are top-notch industry professionals with at least 5 years of experience. You will be taught by the best in all batches.


    You can view a recorded demo session in the Course Overview section. Alternately, you can sign up for a live demo there.


    Our job placement program offers students one-on-one career counselling, and the chance to work with our corporate partners.
    Candidates who fulfill the following criteria will be eligible for the program:
    • Scored 75% marks or above (resulting in a Platinum certificate) in the course.
    • Successfully completed at least 2 quality projects.
    • Scored 80% in all the mock technical interviews.
    • Was never found plagiarizing code.


    You can pay after registering for the course. We accept most credit and debit cards. You can also pay via net banking. Our payment portal has an EMI option if you wish to pay in installments.


    Our ‘Refer and Earn’ program gives you a discount on the course fees when your references join us. You may refer students by writing to us at [email protected]
    The details of the Refer and Earn policy can be found at https://acadgild.com/refer-and-earn.


    To request a refund, write to us at [email protected] You may apply for a refund in the first three days after paying the fees. No requests will be entertained after this initial period. The terms and conditions of AcadGild’s refund policy may be revised without prior notice. Please check websites for updates on this policy.


    You can write to us at [email protected] with your contact details. Our representatives generally respond to requests within 24 hours.


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