• bestselling
  •    4.0 Ratings

  •     2,651 Learners

AcadGild’s Data Science Masters is an intensive 6 months course that will transform you into a Data Scientist by delivering hands-on experience in Statistics, Machine Learning, Deep Learning and Artificial Intelligence (AI) using Python, TensorFlow, Apache Spark, R and Tableau. The course provides in-depth understanding of Machine Learning and Deep Learning algorithms such as Linear Regression, Logistic Regression, Naive Bayes Classifiers, Decision Tree and Random Forest, Support Vector Machine, Artificial Neural Networks and more.

  • 200+

    Hrs of coding
    assignments

  • 100+

    Hrs of Live
    Classes

  • 20+

    Industry Cases &
    Live Projects

  • 10+

    Data Scientists
    as mentors

  • Assured job
    Assistance
    & Interviews*

Upcoming Batches:

  • 04 Nov - 15 Apr
  •   1,299
  • ENROLL NOW

Learn from the best Data Science Leaders

This program has been designed in collaboration with some of the most influential analytics leader and top academician in data science.

Corporate Partners

Our job-prep week can help you get hired by these companies


*Eligibility: Platinum Certificate (85% marks and above) + 2 Projects + Scoring 80% Marks in Mock Interviews. For further details, please see the FAQ section below.

Student Success Stories

Our courses and a very proactive job assistance team have helped turn around the careers of many students. Hear what some of our students have to say.

Data Science can Transform Your Career

Find out why the world is moving towards adopting Data Science and how your career can benefit from it.

Why learn Data Science?

  • Harvard Business Review named Data Scientist is the sexiest job 21st Century. More recently, Glassdoor named it the "best job of the year" for 2016.
  • The average salary of a Data Scientist with Machine Learning skills is $91, 422 per year
  • According to TeamLease, Data Scientists with around 5 years' experience are earning over Rs. 75 Lac per annum as compared to 8-15 lakh for CAs and 5-8 lakh for engineers with the same experience level.
  • As per Times of India report, India will face a demand-supply gap of 2,00,000 analytics professionals over the next three years. Even in the US, only 40 out of 100 positions for analytics professionals can be filled.

Who should take this course?

  • The Data Science Masters is designed for those who want to launch their careers in Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI) and Computer Vision.
  • The role of a Data Scientists requires strong understanding of mathematics and statistics, and technical skills such as R & Python programming, which our faculty will teach you “hands-on” during the next 24 weeks.
  • The program is designed as such that both experienced and aspiring professionals from any educational background can launch their Data Science careers. Students from earlier batches are from the following background:
  • IT professionals
  • Developers
  • Analytics Managers
  • Banking and Finance professionals
  • Digital Marketing Professionals
  • Supply Chain Professionals
  • Business Analysts
  • Analysts
  • Information Architects

Upcoming Batches


  • Last Enrolled: 54 minutes ago

Course Overview

Designed with Inputs from Top Industry Professionals

Industry professionals from top tech companies guide our industry-aligned curriculum. Our curriculum is continually refreshed with the latest on big data technologies so that you never fall behind.

Course Snapshot

Our courses are a well-balanced blend of mentoring sessions, coding experience, real-time examples to make you absolutely job ready.

  • 200+

    Hrs of coding
    assignments

  • 100+

    Hrs of Live
    Classes

  • 20+

    Industry Cases &
    Live Projects

  • 10+

    Data Scientists
    as mentors

  • Assured job
    Assistance
    & Interviews*

Description

Statistics for Business Analytics

Learn how to work on Binomial distribution, Normal distribution, Chi Square test, ANOVA test, and Hypothesis testing. Get basic understanding of Descriptive statistics, Random variables, and Probability distribution functions.

Data Analytics with R

Introduction to R, Unleashing the power of analytics Through R, Basic R programming, Data import and export, Using R for Data Exploration, Knowledge on R packages that can help to explore data, Data Preparation Through R, Data Visualization Through R, Building Prediction models using R statistical packages

Data Visualisation with Tableau

Tableau Introduction and Layout, Understanding Tableau Connections to files and databases, Tableau Data Types and simple calculations, Data aggregation concept in Tableau and implications, Calculations and Parameters, Data Filters, Tableau Graphs and Maps, Creating Tableau Dashboard and Story board, Data Blending, Custom SQL, Deeper look into Complex Calculations, Creating Superimposed Graphs, Tableau and R integration

Read More...

Data Analytics with Python

Python, a general-purpose programming language used by Data Scientists in developing wide range applications. In this module, you will understand the basic concepts of Python programming. Learn and understand Conditional statements, Loops, Strings, List objects, Tuples, OOPs Concepts, etc. Learn how to work on File Handling, Exceptional Handling, and Database programming.

Data Analysis & Cleaning

Data is the basic foundation of the digital age which employs a wide range of techniques to successfully implement the best solution in the real-time. In this module, you will learn Numpy variables, Scipy and will also work with Pandas, Matplotlib, Scatter Plot and Stack Charts. Maintaining an excellent data quality is important to ensure a long-term relationship with customers. You will also walk-through how to combine multiple datasets to get a single and clean data set.

Machine Learning - 1

Machine Learning is a key part of Data Management. Master Supervised, Semi-supervised and Unsupervised Learning. You will also understand how Linear Regressions, R square and adjusted R square works. Get started with Scikit learn and expertise in domain knowledge.

Machine Learning - 2

You will also learn the key concepts such as Precision Recall, ROC curve, F-Score, Decision Tree, Cross Validation, Ensembelled approach, Bagging Boosting, Random Forest & XGBoost, K-Nearest Neighbour, Logistics Regressions, Clustering, Principle Component Analysis, understanding and implementing Time Series Forecasting, ARIMA model and Text Analytics.

Deep Learning with TensorFlow - 1

Deep Learning is one of the effective ways for Predictive Analysis Automation. In this section, you will understand the basics of Neural network, Types of Neural Network, Cost Function, Gradient descent, Linear Algebra, Vanilla implementation of Neural network in Python, TensorFlow basics, Word embedding and TensorFlow.
Implement CBOW and Skip-gram to understand how the neural network "learns" the underlying word representations for each word.

Deep Learning with TensorFlow - 2

Master implementation of Convolutional Neural Network, Maxpool, Window padding, Image classification using Convolution Neural Network, Recurrent Neural Network. Know how a Recurrent Neural Network (RNN) uses the Long Short Term Memory (LSTM) architecture, classify implementing the same, learn Seq-to-Seq model, know how to build story writer using character level RNN.
We also cover Creation of Generative model and perform Semi-supervised learning using GAN. Understand about Seq-to-Seq model Encoder and Decoder.

Handling Big Data With Spark

Spark Installation And Jupyter Notebook Integration, RDD's in Spark, Introduction to Data Frames & Spark SQL, Spark Streaming, MLib & GraphX, Deploying a Spark Application, Implementing Case Study on Spark Ecosystem

We Are Making News

   Acadgild gets ranked as one of the top 10 boot camps in the world – InfoWorld

Vinod Dham

Father of Pentium

AcadGild, co-founded by the serial entrepreneur Vinod Dham, provides mentor-led intensive professional courses in technology, design, data, and marketing. The courses are delivered in a bootcamp-style environment. Founded in 2015, we've so far trained more than 8,000 professionals and students and helped transform their careers.

Course Features

Experienced Industry Mentors

Learn industry-grade programming from our community of mentors working with top IT companies for over 5 years whose daily job involves using these technologies expertly.

 

Lifetime Access to our eLearning Dashboard

This grants you a lifetime of learning. You can always check in to learn the latest in technology at any time.

Free Job Assistance Program

Our industry experts work to improve your professional profile and coach you for tech interviews at big firms. We also work with a large network of local employers who constantly send us notices of employment opportunities.

Read more >

2–5 Real Time Projects and 3–5 Case Studies

We strongly believe in learning by practice. We encourage you to implement the core concepts learned through the course in an integrated environment and add impressive projects to your portfolio.

Internationally Recognized Certification

All major companies recognize our certifications. Add credibility to your coding skills by earning our top certificates.

24 x 7 Coding Support

Our support team is always up and working to help you wriggle out of any coding roadblocks faced. We make sure there is no delay in your learning and that you always remain motivated.

Course Syllabus

Corporate Training Solutions

  • Instructor-Led Training
  • Skill-Based Assessment
  • Recruiting Solutions
  • Bite-Sized Learning
  • Interactive E-learning
   Know more >

Customer Reviews

We know we are the best, but do not just go by what we say, have a look at what our students say.

  • Google

4.4 Rating

200+ Reviews

  • Quora

4.3 Rating

150+ Reviews

  • Facebook

4.5 Rating

200+ Reviews

  • Course Report

4.3 Rating

150+ Reviews

Projects, You Will Work On

We help our students develop projects by applying their skillsets in an integrated environment. We expose our students to real-world problems and case studies from top companies like Facebook, Netflix, etc., as we think it to be the best way to build an incredible portfolio.

Job Assistance Program

Once you successfully finish your assignments and projects, our counselors provide you with one-on-one career guidance with great emphasis on mock interviews and building an online professional portfolio to help you get noticed by top recruiters.

Resume Building

Our industry experts tell you what exactly to put in your resumes and how to highlight them on top job portals.

Online Reputation Building

We establish your presence on all the right social networks like Git, Stack Overflow, LinkedIn, etc.

Mock Interviews

Our industry experts give you insider tips on how to face the real tech interviews of top firms.

Placement Assistance

Interviews with top MNCs and start-ups and periodic placement drives will be arranged.

30+

Offers Made to our Big Data Students

25000+

Hours Spent Coding

100+

Recommendations Given by Hiring Partners

500+

Projects Completed by Students

*Eligibility: Platinum Certificate (85% marks and above) + 2 Projects + Scoring 80% Marks in Mock Interviews. For further details, please see the FAQ section below.

User Testimonial

FAQs

What is this course about?

AcadGild’s Data Science - Deep Learning with Tensorflow course will offer proficiency in Python, Statistics, Machine Learning, Tensorflow and its main functions, operations and the execution pipeline. This course covers neural networks, implementation of Deep Learning algorithms and abstraction of Data layers.

This course helps you to understand various Deep Learning complex algorithms that implement deep neural networks and also helps you to master in crafting new features to experience deep layers of data.

Who should go for this Training?

AcadGild’s Data Science - Deep Learning with Tensorflow course is best suited for all the professionals who have the zeal to learn. Also, this course is suitable for the following professionals:
• Any Analyst or Software Developer aspiring to be a Data Scientist
• Managers from Analytical background and those who are leading a team of Analysts
• Any professional from Business Analysts background
• Information Architects who want to gain Predictive Analytics expertise
• Any Analysts who want to understand Data Science Methodologies
• Researchers or professionals who are looking to either migrate from an existing machine learning library or jump into a machine learning platform
Since, this course is not restricted to one industry or skill set, it can be taken by anyone who is looking to enhance their portfolio and a successful career switch.

What are the prerequisites for taking this course?

The following are the prerequisites for taking this course:

• In-depth knowledge of Python and Statistics
• Basic Knowledge of Machine Learning
One of the added advantages is the above mentioned prerequisite modules are part of our live mentoring classes.

What are the software and hardware requirements?

• 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) should be enabled

How do Data Scientists differ from Big Data Developers?

Data Scientists are the ones who handle business needs as and when requirements arise and they also implement the analytics project.
Whereas, Big Data Developer is a who designs and implements applications to perform analysis on the data generated to uncover insights and to make a business intelligence by analyzing data from various sources.

How much time commitment does this course require?

We expect you to have at least 10–15 hours per week handy to go through this course.

Are you going to help me develop the projects?

Yes and no. Our curriculum has been designed in a way tointroduce concepts slowly, and plenty of exercises are given before you set out to develop your first project. You can either choose to develop from our existing repertoire of custom projects or think one of your own!

Our SME team helps you along the way.

What if I miss a class?

Do not worry, you can access the session recording of your missed class on our dashboard anytime

Can I continue the course after taking a break?

We care that you successfully complete the course and walk out with a certification. In case you are unable to continue attending the live sessions mid-course due to unfortunate circumstances, we will re-assign you to a new batch, provided you attended less than 50% of the sessions the first time.

This policy stands valid for 12 months from the date of registration and payment of the course fees.

Can I choose my mentors?

All our batches are assigned to mentors who come with solid 5+ years of experience and are subject to strict standards of assessment before they are hired. We guarantee that you will be taught by the best, be it any batch that you choose to enroll yourself into.

How can I get a demo of the course?

You can view our live-mentoring session recordings in the Course Overview section or sign up for a live demo there.

Tell me more about the Job Placement Assistance Program.

This program offers our students with one-on-one career guidance. Résumés of eligible students will be forwarded to our network of employers with relevant job openings.

Candidates fulfilling the following course performance criteria can apply for our job assistance services:

• Scoring 85% marks or above (resulting in a Platinum certificate)
• Successfully completing at least 2 quality projects
• Having scored at least 80% in all the mock technical interviews
• Having no instance of code plagiarism in the course submissions

This service will be made available to you for a period of 12 months from the date of course completion. Features

How do I make the payment for this course?

Payment for all charges is payable upon registration for the course. We accept most credit and debit cards. You can also make your payment using Net Banking options. On our payment portal, you can also select theEMI option to make your payment in installments.

What is the Refer and Earn program?

You are eligible for a discount on your course fees in accordance with our referral program, wherein, all you need to do is, write to us the details of the student(s) who you want to refer to the course oralready have referred to at [email protected]

The details of the Refer and Earn policy can be found at https://acadgild.com/refer-and-earn.

What is the Refund Policy?

• AcadGild will refund your full course fees within 3 days of registration and fee payment.
• No requests will be entertained after 3 days of registration and fee payment.
• In case you are found misusing AcadGild's Refund Policy for undue personal gains in any way, then the Company holds the right to restrict your access to its eLearning dashboard.
• AcadGild also holds the right to ban you from using any of AcadGild's products in the future; We hold no liabilities to you.
• The Terms and Conditions of AcadGild's Refund Policy may be revised without any prior notice.
• Please visit AcadGild's website from time-to-time for updates on the Refund Policy.
• Please direct your refund requests to [email protected]

Who should I contact for more information?

Write to us at [email protected] with your contact number and we will get in touch with you within 24 hours.

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