Your Data science career starts here.

  • 6 month Bootcamp
  • Become a Data Expert
  • Earn upto $110k

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Your Gateway to fortune 500 companies!



Why Data Science

According to Forbes, over 2.5 trillion data are created daily. There are hardly enough professionals to handle it all which is why data experts are in huge demand. Our intensive online classes will equip you with top skills to kick start a career in data science. No experience required, we will take you from beginner to expert within a few months.



Acquire Top Skills

Our programs are designed to prepare you for the ever-changing tech field. You will graduate with industry in-demand skills, a fantastic portfolio, and the capability to undertake any job.

Top-notch Curriculum

Our training covers everything from data science (big data) to data analysis, cloud computing, internet of things, and lots more. You will learn how to perform data visualization, data mining, machine learning validation, testing.



Hands-on Experience

Practice and apply the skills you learn with real-world projects. You will be equipped to carry out use high tech deep learning frameworks like Google tensor flow and be able to code and apply your skills to real business situations.

Get Hired

Fill up your resume with in-demand data science skills. Learn how to impress interviewers by showcasing your understanding of the field of data science. Our students enjoy a massive employment rate.


A Field with
Endless Possibilities

Data science is a new and developing field, and the career possibilities are endless. There are several job titles, including data scientists, business analysts, machine learning engineers, and others. You will work to analyze data to provide insight on products, businesses, and processes.


How much does a data expert make in Illinois?

The bootcamp training prepares you with the in-demand skills that help you land a highly value job. Companies from startups to corporate usually requires following job roles in the field of data science as listed below:

  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Business Insights Analyst
  • Business Analyst
  • Data Analytics Engineer

Expected salary range: $60K to $140K

Source: payscale.com

What Will You Get?

  • Become a data scientist from scratch
  • Over 1500 hours' worth of course work and practical
  • Work daily with experienced data scientists on real-life cases
  • Readily available support and mentorship to keep you going

Enroll Now >


Program Course


Study Plan

in Weeks

Course Name

1

Course 1: Introduction to Data Science

2

Course 2: Analyzing and Visualizing Data with Excel

3

Course 3: Analyzing and Visualizing Data with Power BI

4

Course 4: Analytics Storytelling for Impact

5 - 6

Project 1: Exploratory Data Analysis

6 - 7

Course 5: Ethics and Law in Data and Analytics

8 - 9

Course 6: Querying Data with Transact SQL

10

Course 7: Introduction to Python for Data Science

11 -12

Project 2: Data Querying and Cleaning

13 - 14

Course 8: Data Science Research Methods: Python Edition

15 - 16

Project 3: Data Science Research Methods

17

Course 9: Essential Math for Machine Learning: Python Edition

18 - 19

Course 10: Principles of Machine Learning: Python Edition

20 - 21

Project 4: Machine Learning

22

Course 11: Developing Big Data Solutions with Azure Machine Learning

23

Course 12: Analyzing Big Data with Microsoft R

24

Course 13: Implementing Predictive Analytics with Spark in Azure HDInsight

25 - 26

Capstone Project

BONUS TRACKS TO BE ADDED AFTER BOOTCAMP


27 - 28

Course 14: Introduction to R for Data Science
Course 15: Essential Math for Machine Learning: R Edition
Course 16: Data Science Research Methods: R Edition
Course 17: Principles of Machine Learning: R Edition

NOTE: Windows Operating System would be required to use some of the tools included in the Program.


Bootcamp Post-Graduate Support Program

Bootcamp graduates can choose from a career counselling or IT consultation training once they successfully complete their bootcamp. They can get a 12 months support in landing a qualifying job or learn to market themselves as IT consultants and start their own freelance career.


Coach Profile

Robert Utterback

Robert Utterback is an assistant professor of computer science in the Department of Mathematics, Statistics, and Computer Science at Monmouth College in Monmouth, Illinois.. Recently he has made forays into applied machine learning and data science, especially text mining. Recently he has made forays into applied machine learning and data science, especially text mining..



Choose Learning Tracks Tailored to Your Career Objectives

Program Features MOST POPULAR

MASTER

SPECIALIST

SELF-PACED

UPSKILL

- Duration 28 weeks 28 weeks Self-paced Self-paced
- Mentor-led sessions 2 hrs session, twice a week 1 hr session, once a week 5 on-demand classes, 30 mins each -
- Hands-on with data tools
- Capstone projects - -
- Career support 12-months access 12-months access 1 session of 30 mins -
- Virtual Labs - -
- Annual course access
Program Features MOST POPULAR

MASTER

SPECIALIST

SELF-PACED

UPSKILL

- Duration 12 weeks 12 weeks Self-paced Self-paced
- Mentor-led sessions 2 hrs session, twice a week 1 hr session, once a week 5 on-demand classes, 30 mins each -
- Hands-on with data tools
- Capstone projects - -
- Career support 12-months access 12-months access 1 session of 30 mins -
- Virtual Labs - -
- Annual course access
 

Still not sure which is the right program for you?

Fill out a quick career objective assessment that will help our admissions team to make the right career recommendations and programs that aligns with your requirements.

 

What to apply for a Scholarship?

  • No minimum eligibility requirement
  • Each application will be reviewed by our admissions committee
  • Each application will be treated independently
  • Offered scholarship is not part of the university system

Have more questions about the program?


Schedule a call with our Admissions team or email Sophia, our Admissions Manager, who will help you think through the decision.


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