Comprehensive Data Science Online Bootcamp

A 7-month online training program that will teach you the fundamentals, practical implementation and strategies to make you a result-oriented Data Scientist

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You're one click away from launching your Data Science career

 

Your Gateway to Fortune 500 companies

 

Why Data Science?

At Hofstra Continuing Education, distance learning is taken as seriously as on-campus education. We aim to prepare you for all the major Data Science certifications. Data Scientists earn a starting salary of around $70k annually and move up the ladder with time, according to ZipRecruiter. Here’s what you’ll get in the bootcamp



University Certification

All graduates will get an official certificate of completion from Hofstra Continuing Education

Self Paced Learning

Study at your own convenience, at your own pace, without compromising learning and proper understanding of concepts and applications

Post-Graduate Support Program

Graduates can choose from a Job Assistance or IT consultation training once they successfully complete their bootcamp. Learn More

Expert Mentor Sessions

Get mentoring from our experts for appropriate guidance in learning concepts and skills in Data Science.
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Real Time Projects

Practical coding projects aligned with real world problems will get you the in-demand skills required by the industry to get hired

Multiple Payment Options

We have made payments last of your worries. Multiple payment options make it easier for students to start the bootcamp program. Learn More

Program Curriculum

A complete breakdown of technicalities, functionalities and concepts of Data Science to build your expertise in using tools and converting raw data into actionable insights. When we say in-depth program, we mean something like this:


Study Plan (in Weeks) Course Name
Week 1 Course 1: Introduction to Data Science
Week 2 Course 2: Analyzing and Visualizing Data with Excel
Week 3 Course 3: Analyzing and Visualizing Data with Power BI
Week 4 Course 4: Analytics Storytelling for Impact
Week 5 – 6 Project 1: Exploratory Data Analysis
Week 6 – 7 Course 5: Ethics and Law in Data and Analytics
Week 8 – 9 Course 6: Querying Data with Transact SQL
Week 10 Course 7: Introduction to Python for Data Science
Week 11 -12 Project 2: Data Querying and Cleaning
Week 13 – 14 Course 8: Data Science Research Methods: Python Edition
Week 15 – 16 Project 3: Data Science Research Methods
Week 17 Course 9: Essential Math for Machine Learning: Python Edition
Week 18 – 19 Course 10: Principles of Machine Learning: Python Edition
Week 20 – 21 Project 4: Machine Learning
Week 22 Course 11: Developing Big Data Solutions with Azure Machine Learning
Week 23 Course 12: Analyzing Big Data with Microsoft R
Week 24 Course 13: Implementing Predictive Analytics with Spark in Azure HDInsight
Week 25 – 26 Capstone Project
Bonus Courses To Be Added After Bootcamp
Week 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.



What Skills You will Learn?


Data Visualization - Ability to quickly analyze issues and create data-driven solutions

Azure HDInsight - Learn the fundamentals of Azure and manage resources on Cloud

Spark - Process and analyze a large amount of data using Spark

Machine Learning - Familiarize yourself with the core mathematical concepts used in Machine Learning

R Programming - Gain hands-on knowledge of coding in R

Python - Gain hands-on knowledge of coding in Python

Predictive Analysis - Understand research techniques and their application to data science

Power BI - Ability to quickly analyze issues and create data-driven solutions

Excel - Learn statistical and data-mining techniques using Excel

Transact-SQL - Learn to manipulate large datasets and traditional (relational) datasets

 
Industry Expert Coach

Dr. Rigoberto Garcia

Data Science Instructor

Results-oriented Data Scientist with 7+ years’ experience in Machine Learning, Artificial Intelligence, Cloud Computing, and Big Data Platforms. 11+ years of experience as an Analytics Professional. 4+ years of consulting experience in the aforementioned areas.

Proven track record of delivering innovative Cloud-Based Machine Learning solutions for both Fortune 500 and start-up companies. Studied at Bioinformatics and Financial Analytics at Stanford University.

 

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
Tuition Plan:

$10,500$6,900

$10,500$6,900

Pay $600 enrollment fee and $2,100 monthly

Pay $250 enrollment fee and $250 - $300 monthly, for 36 months.
View Details

Interest will be 6.9-13.9%

$5,500 $3,200

$5,500$3,500

Pay $500 enrollment fee and $500 monthly

Pay $250 enrollment fee and $250 - $300 monthly, for 26 months.
View Details

Interest will be 6.9-13.9%

$2,900$1,500

$2,900$1,700

Pay $200 enrollment fee and $500 monthly

-

$750 $600

-

-

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
Tuition Plan:

$4,500$3,750

$4,500$3,750

Pay $750 enrollment fee and $1,000 monthly

Pay $250 enrollment fee and $250 - $300 monthly, for 26 months.
View Details

Interest will be 6.9-13.9%

$3,500$2,750

$3,500$2,750

Pay $500 enrollment fee and $1,000 monthly

Pay $250 enrollment fee and $250 - $300 monthly, for 26 months.
View Details

Interest will be 6.9-13.9%

$2,700$1,700

$2,700$1,700

Pay $200 enrollment fee and $500 monthly

-

$750 $600

-

-

 

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.

 

FAQs about Data Science Bootcamp Program

 
How does this bootcamp program work?

It’s a 4-months long bootcamp. You can talk to one of our admission advisors for enrollment. In the bootcamp you’ll learn from a number of Self-paced courses, Instructor led training, one-on-one mentor sessions and adaptive learning methodologies.

What is the Scholarship criterion?

You can earn as much as 30% off on the tuition fee as a scholarship. There is no minimum eligibility requirement and each application will be treated and reviewed independently by our admissions committee. Scholarship is not a part of Hofstra Continuing Education.

Does the program offer career support?

Graduates can choose from a Job Assistance or IT consultation training once they successfully complete their bootcamp.

What potential job titles and earnings can we expect after graduating from this bootcamp?

You can start working as a;

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

With salaries between $60,000 to $140,000 annually, according to Payscale.

Who should attend this bootcamp?

The bootcamp is for everyone interested in starting a career in Data Science. It could be a fresh graduate looking to acquire skills and certification in Data Science, an experienced professional planning to start a new career, or an expert who wants to upskill for new opportunities in the field.

 


READY TO LEARN?

Talk to our experts if you’re confused in choosing the right career or field for you. We do not just provide trainings, but also guide the candidates to opt for the fields most suitable to their passion and style of work.


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