Job Outlook

  • 2.7 MillionCareer Opportunities estimated for Data Science and analytical roles in 2020
    28.00 %Annual Growth in job opportunities for data scientists, data developers and data engineers, across the globe
  • Salary Trend

    Jobs requiring Data Science skills are paying an average of $114,000. Advertised data scientist and data engineering jobs pay an average of $105,000 and $117,000 respectively.
  • Top Industries

    Prominent economic sectors where data analytics is marking its presence include
    • Energy
    • Insurance
    • Healthcare
    • Retail Banking

    Job titles include

    • Data Scientist
    • Data & Analytics Manager
    • Data Architect
    • Principal Scientist
    • Data Engineer
How will it impact my career?
Speak to us at . 9618117333

Learning Path - Become an Alpha Geek Call a Course Adviser

Master Program Certificate

Applicable for learners enrolling for entire learning path

Hyderabad School of Artificial Intelligence With Data Science | Full time Certificate Holders work at companies like :

About the Program

This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands on expertise. By the end of the program you will be ready for seasoned Data Science job roles.
Course 01/09
  • R Programming
  • 01 Weeks
  • 03 Modules
  • 01Introduction to R concepts
  • 02Intermediate R
  • 03Data Manipulations
  • 04Lab Sessions
  • 01Introduction to R concepts
  • 02Intermediate R
  • 03Data Manipulations
  • 04Lab Sessions
  • In this course you will learn how to program in R and how to use R for effective data analysis.
  • The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.
Course 02/09
  • Statistics and Probability
  • 02 Weeks
  • 04 Modules
  • 01Descriptive statistics
  • 02Distributions and sampling
  • 03Making inferences about population parameters
  • 04Nonparametric statistics
  • 01Descriptive statistics
  • 02Distributions and sampling
  • 03Making inferences about population parameters
  • 04Nonparametric statistics
  • This session introduces you with how statistics is used in business with basic statistical concepts like levels of data and measures of central tendencies
  • You will get into the deeper aspects of various distributions. You will understand the parameters that define the probability distributions
Course 03/09
  • Decision Modeling
  • 02 Weeks
  • 04 Modules
  • 01Linear Regression
  • 02Logistic Regression
  • 03Feature Engineering
  • 04Time series Analysis
  • 01Linear Regression
  • 02Logistic Regression
  • 03Feature Engineering
  • 04Time series Analysis
  • This training helps you identify predictions problems and classification problems also covers Dimensionality Reduction techniques
  • This Training helps you deal with stock market data and financial data problems with time series analysis
Course 04/09
  • Machine Learning
  • 03 Weeks
  • 06 Modules
  • 01Clustering
  • 02Recommendation Systems
  • 03Decision Tree
  • 04Ensemble Methods
  • 04KNN Algorithm
  • 04Support vector machines
  • 01Clustering
  • 02Recommendation Systems
  • 03Decision Tree
  • 04Ensemble Methods
  • 04KNN Algorithm
  • 04Support vector machines
  • This Training helps you gain expertise in machine learning algorithms like Unsupervised and Supervised Algorithms
  • This Training Helps you gain expertise in Creating Powerful Recommendation Engine Systems
Course 05/09
  • Python programming
  • 01 Weeks
  • 02 Modules
  • 01Introduction python
  • 02Python Libraries
  • 01Introduction python
  • 02Python Libraries
  • You will be able to perform various python libraries for Different machine Learning and Text mining tasks
Course 06/09
  • Deep learning
  • 02 Weeks
  • 03 Modules
  • 01Artificial Neural Networks
  • 02Auto Encoders
  • 02Optimization Techniques
  • 01Artificial Neural Networks
  • 02Auto Encoders
  • 02Optimization Techniques
  • This training helps you gain expertise in prediction and Classification problems using Artificial Neural Networks with keras Tensorflow Api
Course 07/09
  • Computer vision
  • 01 Weeks
  • 02 Modules
  • 01CNN
  • 02RNN : LSTM
  • 01CNN
  • 02RNN : LSTM
  • This training helps you gain expertise in Image detection and Image Augmentation using Various algorithms S
Course 08/09
  • Natural Language
    processing
  • 02 Weeks
  • 03 Modules
  • 01Text Preprocessing
  • 02Relevance Ranking
  • 02Sentiment Analysis
  • 01Text Preprocessing
  • 02Relevance Ranking
  • 02Sentiment Analysis
  • This Training helps you gain expertise in various NLP Tasks such as Text Classification , text generation , Text Summarization
Course 09/09
  • Big Data with Hadoop
    and Apache spark
  • 02 Weeks
  • 04 Modules
  • 01Hadoop Eco system
  • 02Data Ingestion
  • 02No Sql
  • 02Apache Spark
  • 01Hadoop Eco system
  • 02Data Ingestion
  • 02No Sql
  • 02Apache Spark
  • This training helps you work with streaming Data by applying all the machine learning algorithms using Apache spark or Hadoop
Not sure if it's right for you?

Call us at . 9618117333

Sample Placement MOU and Sample Certificate

Course Evaluation

Weekly Output Test
Every Alternate weeks there would be an Assignment test . Total Assignments conducted would be around 8 - 10 Tests . Average of All assignments score is considered Percentage Count : 25%
Conceptual Test
After Completion of Machine Learning one Test, After completion of Deep learning one more Test , After Completion of Natural language processing one more Test . Total number of Tests would be 3 . Average of all three tests would be considered . percentage Count : 25%
Seminar presentation
Every Week there would be presentation that could be on technical concepts or business cases studies . percentage Count : 15%
Attendance tracking
Class Attendance and class participation as well as lab session would be considered for Evaluation . Percentage Count : 5%
Final Project
End to End data science application and project presentation is considered . percentage Count: 30%

Projects and case Studies

Health Care & Pharma
| Early Diagnosis | Readmissions | Fraud and Failure analysis of clinical trails |
Retail
| SKU Forecasting | Market Basket Analysis | Target Marketing | Cross Selling |
Attendance tracking
| Credit Scoring | Risk Management | Fraud Detection | Loan Approval |
Telecom
| Customer churn Prediction | Plan Recommendation |
Insurance
| Claims Recovery | Fraud Detection | Litigations Prediction | Acrossination |
HR & IT
| Employee churn predection | Job Recommendation | Ticket Clustering |
Stock Market
| Forecasting |
e-Commerce
| Root Optimization | Customer Transaction Behaviour | Dynamic Offers |
Media
| TV Impressions | TRP Predictions | Ad Targeting
Social Media
| Sentimental Analysis |
Transportation
| Uber Dynamic Price Prediction |
Human
| Hand Digit Recognition | facial recognition |
Networking
| Intrusion Detection |
Other Industries
| Agriculture | Oil & Gas | Travel Portals | Supply Chain | Manufacturing | Airlines | Marketing | Politics |

Placement FAQ

Job Guarantee Process : After completion of course In 4th Month Interviews will be started If You Perform well in interviews which we provide You will be getting Direct Job offer letter . If You do not perform well in 3 Interviews we will be sending You as Internship without any interviews . Based on performance in internship company converts into Full time Employee Finally You will be in any one of the company without being Jobless.

  • In case if any of the student satisfies the evaluation criteria but fails to get placement without any opportunity provided by Institute in different companies, then the institute will refund a fee of 8% with grace period of 45-60 Days of after course completion if at all the total fee has already been paid by the student.

It’s an agreement between student and institution that we will provide guaranteed Job Or Internship based on certain terms Candidate who paid full fee.

  • Attendance of classes consideration.
  • 12 Assignments Submission with at least 50%.
  • 12 Seminar Presentation score should be at least 50%.
  • 12 conceptual exams and viva scores should be at least 50%.
  • Final Project is considered with 60%
  • No Location Constraint on Job Offers

NOTE : If any candidate does not satisfy the above criteria will not be eligible for Refund and Placements.

2 Types of exams will be conducted. i.e, through classrooms and other is in the form of home assignments.
NOTE: Submission of others assignment is considered as abort and lapse and assignment will not be considered.

We provide on an average of 5 interviews per an individual. If they are failed to get placed in any one of them. We still help them to get placed in others.

It includes

  • a) Telephonic Round/Skype
  • b) Case Study Presentation
  • c) Technical Round
  • d) HR Round

NOTE: No Aptitude, No JAM, No Group Discussion.

It would be as

  • 5-6.5 LPA as a fresher
  • 60-80% hike for experienced candidate

It varies based on location, company and based on performance of the candidate in interviews.

You will get into the placements immediately after completion of the course or maximum within 45days - 60 days

  • The candidates/Students who doesn’t attend the classes properly.
  • The candidates who failed to pay the fee.
  • The candidates who clone the assignments that were conducted during the course.
  • The candidates who are failed to complete the reattempt of assignments.
  • The candidates who are not able to attend the interviews which were given.
  • The candidates who have constraints with their location.
  • Refunds, if any, will be processed within 40 working days.
  • In all the above cases involving course fee, the student can choose to postpone the admission to the next batch. In such a case, the Institution reserves the right to postpone admission at the current fee structure at which the fee is paid or at the prevailing fee structure of the next batch.