Embedded Systems Course And Training

14 Week, intensive embedded systems course in Bangalore

Next cohort starts on 1st November 2018

Course Details

Duration: 12 weeks

Effort: hours per week

Price With GST: 40000/-

Subject: Data Science

Level: Beginner to expert

HIGHLIGHTS

Learn Data Science in a fast-paced, Supportive environment

Theory ==> Practicals ===> Assignment ==> Case study==> Evaluation ==> Certificate ==> Subject Expert

Up-to-date Skills

We offer a razor sharp focus on the skills employers are looking for

Build your Portfolio

Our project-based curriculum gets you ready and prepared to impress

Get Hired

With full career support you’ll be ready for the job market in Berlin and beyond

Join The Community

 RTS is more than just an institute, it’s a family

-  100% JOB Placement in MNC & Mid Size Companies with Good Salaries

-  Highly talented and 10+ Years Experienced Trainer

-  Well Equipped Class Rooms and Lab Facility

-  In a Class Batch Size will be Max. 8 Students Only

-  ONE-to-ONE Tuitions to make Students software Experts

-  Students get Live Project to practice

-  Week Day/Week end / Evening and Early morning batches

-  Pay only after FREE DEMO CLASS

-  We help to get your Dream Job

-  Skilled candidates will get the opportunity to work with our Development team.

-  Fast Track course available with best Fees

-  Software Certification Guidance Support with Exam Dumps

-  Basic programming & Advanced Software programming Mock Tests and Mock Interviews Conducted by Industry Experts

 

Course Duration: 3 Months Practical training classes with Project


Timings & Schedules: All Days Classes - Weekdays / Weekends (Sat & Sun)

Technologies

What you will Learn 

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Data Analysis in Python

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You’ll use Python to collect, wrangle, and clean data. You will become fluent in using powerful Python libraries like Pandas and NumPy to explore your data and conduct statistical analyses

Programming Algorithm with R

You’ll use R programming to import data, pre process, apply algorithms and post processing. Visualization tools in R programming, Data base management and export data to JSON and CSV and run efficient enquiries

Machine Learning 

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You’ll delve into the world of machine learning with the two frameworks scikit-learn and TensorFlow. You will build machine learning systems ranging from simple linear regression to state-of-the-art deep learning systems

Data Infrastructure

You’ll deploy your machine learning systems on modern architectural components including Docker containers and AWS to distributed computing with Spark. You will apply techniques to test and monitor your services.

Data Visualization & Reporting

You’ll learn to present your data beautifully using Matplotlib and Seaborn as well as learning how to create interactive data visualizations with D3.js

Git & Github

You'll use Git and Github throughout for the course to utilize collaboration & version control of your code.

1. What is Data Science

  1. Demand of Data Science

  2. Venn Diagram

  3. Pipeline

  4. Roles

  5. Team

  6. Knowledge Check

2. Field of study

 

  1. Big Data overview

  2. Programming involvement in Data Science

  3. Statistics

  4. Knowledge check

 

3. Ethics

 

  1. Ethical issues

  2. Knowledge check

4. Data Sources (Getting Data)

 

  1. Data Metrics

  2. Existing data

  3. APIs

  4. Scraping

  5. Creating Data

  6. Knowledge check

 

5. Data Exploration (Cleaning Data)

 

  1. Exploratory graphs

  2. Exploratory statistics

  3. Knowledge check

6. Programming

 

  1. Spreadsheets

  2. R programming

  3. Python

  4. SQL

  5. Web formats

  6. Knowledge check

7. Mathematics

 

  1. Algebra

  2. Systems of equations

  3. Calculus

  4. Big O

  5. Bayes probability

  6. Knowledge check

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Machine Learning

 

Linear Regression with one and multiple variables.

       Linear regression predicts a real-valued output based on an input value. We discuss the application of linear regression to housing price prediction, present the notion of a cost function, and introduce the gradient descent  method for learning. 

  1. Cost function, Gradient descent, Normal Equations

Logistic regression. What if your input has more than one value? In this module, we show how linear regression can be extended to accommodate multiple input features.

  1. Cost Function, Gradient descent solution.

Neural Networks. Neural networks is a model inspired by how the brain works. It is widely used today in many applications: when your phone interprets and understand your voice commands, it is likely that a neural network is helping to understand your speech;

  1. Back propagation

  2. Application of Neural Network

Support Vector Machines (SVM). Support vector machines, or SVMs, is a machine learning algorithm for classification. We introduce the idea and intuitions behind SVMs and discuss how to use it in practice. 

  1. Large Margin classification

  2. Kernels

UNSUPERVISED

  1. Clustering

  2. Gaussian Mixture Models

  3. HMM

 

R Programming

 

  Writing code and setting your working directory

  1. Getting started and R nuts and Bolts

    1. R console Input and evaluation

    2. Data types – R Objects and attributes, Vectors and Lists, Data types – Matrices, Data types – Factors, Data types – Missing values

    3. Data types – Data frames, Data types – Names Attributes, Data types – summary, 

    4. Reading Tabular Data, Reading large tables, Textual data formats

    5. Connections: Interfaces to outside world

    6. Subsettings – Basics, Lists, Matrices, Partial Matching, Removing Missing values

    7. Vectorized Operations

 

 Communicating

  1. Interpretability, Actionable insights, Visualization for presentation, Reproducible research, Knowledge check

Conclusion and final test

Course Structure

How you will Learn 

Phase I

In your first weeks you'll focus on learning to use Python for common data handling and visualization tasks, as well as building machine learning systems with scikit-learn.

Phase II

In the next few weeks you’ll delve into the world of Deep Learning. You’ll learn how to build image processing systems and language processing systems with TensorFlow. As your programs grow, you will learn techniques to write bigger Python applications.

Some of the projects done by us:

  • Traffic congestion and biasing Smart Traffic Signal based on CCTV feed using artificial Intelligence (https://www.youtube.com/watch?v=IgxIPUD32L4&t=30s)

  • Farming robot helps to detect disease and spray medicine in case required (https://www.youtube.com/watch?v=eMGNwKsaJG0)

  • Fire detection using Neural networks in image processing (https://www.youtube.com/watch?v=A_x4oGFSaio&t=21s) 

  • Face recognition Algorithm in MATLAB using Neural network and Image processing (https://www.youtube.com/watch?v=JL2k8MyqL3U&t=3s)

RTS Labs (Optional)

For 6 weeks after the course you’re free to come to RTS to continue to work, receive guidance during your job search and put any final touches needed on your portfolio.

Get Hired

Career Support

Self Awareness

Discover your career values, interests and ideal workplace, through a series of introspective questions and activities

Portfolio & CV

Learn to write the ideal CV, cover letter and LinkedIn profile for the role of a Data Scientist. Create and sharpen your Github portfolio of projects.

The Job Search

Learn how to structure your job search, different types of tech roles, average Data Scientist salaries and how negotiate for a job offer.

Interviewing Practice

Practice one-on-one for a Data Scientist interview through a series of behavioral and technical questions and get feedback in real time.

Course Details

Dates & Prices

Financing option available

Where our graduates work

Ready to become a Data Scientist ?

Want to talk to us: +91-9740992552

Marathahalli Office:

Real Time Signals Technologies Private Limited

#102, Krishna Grand, Over Marathahalli Bridge,

Bangalore, Karnataka, India 560037

BTM office:

Real Time Signals Technologies Private Limited,

#4, 2nd Floor, 1st phase, 2nd Stage, BTM Layout,

Opposite to Udupi Garden,

Bangalore-76, bengaluru, Karnataka, 560076

Whitefield office:

Real Time Signals Technologies Private Limited,

#1906, Brigade Metropolis,

Mahadevpura,

Bengaluru, Karnataka, 560048

Belgium Europe office:

Real Time Signals Technologies,

Hemelstraat 42, 2018 Antwerpen

Belgium, Europe

Thane Office:

Real Time Signals Technologies Private Limited,

#202, GARDEN ENCLAVES BLDG NO1,

VASANT VIHAR,

THANE 400607, MAHARASHTRA, India 

 

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