Data Science Training. Data Science Corporate Training

IMPROVE DATA LITERACY ACROSS YOUR ORGANIZATION

DATA SKILLS TRAINING FOR YOUR TEAMS THE FUTURE OF WORK

Stay ahead of fast-moving advances in data science and prepare your organization for the data economy

 OUR TRAINING PHILOSOPHY


THE FIVE MAIN PRINCIPLES:

Data Science Training. Data Science Corporate Training. 1. Personalized, instructor led

PERSONALIZED, INSTRUCTOR LED

Our courses are instructor-led and curated, for greater outcomes and ROI. Our instructors include Ivy-league professors  and senior industry experts.

Data Science Training. Data Science Corporate Training. 4. Social learning, data- driven culture

SOCIAL LEARNING, DATA-DRIVEN CULTURE

We provide an environment where participants are learning from one another in real-time, fostering a culture of learning and data literacy.

Data Science Training. Data Science Corporate Training. 2. Case based, business focused

CASE BASED, BUSINESS FOCUSED

All of our content is hyper-practical; we don’t teach theory in a vacuum. Each case addresses a real business problem.

Data Science Training. Data Science Corporate Training. 5. quantified

QUANTIFIED

We leverage our assessment platform and develop an ROI framework to measure impact throughout the duration of the training.

Data Science Training. Data Science Corporate Training. 3. Generate business impact

GENERATE BUSINESS IMPACT

We work with clients to embed their actual business challenges into the training, generating real results for the organization.

LEARNING-BY-DOING


DEPLOYMENT LOGISTICS

All of our training is virtually delivered. Typically, 60%-70% of a program is synchronous: participants will log-on at a specific time, meet with instructors, teaching assistants, and peers and work together to learn and solve problems.

The remaining portion is asynchronous, in which participants are doing individual assignments or group work to cement their learning.

Our process is to work hand-in-hand with clients to develop a curriculum tailored to their organizational needs:

Data Science Training: Step 1- discovery interview

STEP 1:
DISCOVERY INTERVIEW

Data Science Training: Step 2- Identify Needed Data Skills

STEP 2:
IDENTIFY NEEDED DATA SKILLS

Data Science Training: Step 3- Administer Benchmark Assessments

STEP 3:
ADMINISTER BENCHMARK ASSESSMENTS

Data Science Training: Step 4- Deploy Customized Training

STEP 4:
DEPLOY CUSTOMIZED TRAINING

  Data Science Corporate Training. Data Science Training: Pooled Training

POOLED


< 50 employees

Mixed classroom

Need to hire external program graduates

Pre-given schedule

Data Science Corporate Training. Data Science Training: Private Training

PRIVATE


> 50 employees

Private classroom

Needs are recurring and multi-year in nature

Deeply Customized

POOLED VS
PRIVATE TRAINING

How to decide if a shared classroom, or single-employer programs are right for you:

RELEVANT PROGRAMS FOR EVERY LEVEL OF THE ORGANIZATION


COURSE OFFERING

Our offerings cover the full spectrum of data literacy, from no-code tracks for non-technical front line employees, to advanced programs for technical workers, and executives.

WE HAVE DEDICATED TRACKS SUITABLE FOR

Business Analysts
Strategy Consultants
Product & Project Managers
Marketing Analysts
C-suite and executives
Software engineers
Data Scientist
Data Analysts
Employees that work with spreadsheets
Employees that work with data

TOPICS INCLUDE

Data Literacy
Business Intelligence
AI for Executives
Data Science
Data Analytics
Data Engineering

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TRAINING FOR AMAZON EMPLOYEES


DATA ANALYTICS WITH EXCEL AND PYTHON

This training program is designed to provide Amazon employees with data analytics skills and career resources, giving them access to higher-paying jobs.

 

QUALIFY TECHNICAL PROFICIENCIES 


SOFTBANK CASE STUDY

Learn how our training program helped Softbank and its portfolio companies unlock the business value of data by upskilling their employees and creating solutions that generated millions of dollars in savings.

WE’RE READY TO HELP YOUR TEAMS ADVANCE THEIR DATA CAPABILITIES


GET IN TOUCH