Data Science:

Explore the extraction, engineering, analysis,
and dissemination of data.

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New Course

Get the data speak for itself

Boost your confidence, master the field, become a certified professional. Learn to use all the related tools, walk into a job and be a rock star from day one. The skills you need to become a real professional. Thrive in your career.

Partners

Support from different universities and Google.

Experts

Testimonies about the information management performance

Some benefits

Manage data, predict
the future.

More that 3 hours of video content so that you can learn the fundamenetals of natural language processing.

Video hours

+3hrs

Instructional hours

+20hrs

Release date

Days
Hours
Minutes
Seconds

Are you ready to transform your reality?

Know your teachers

Our experts

José Antonio is an Actuary from UNAM Science Faculty. In the last 14 years, he has been a Risk Administration professor. He has two specialties, one in Applied Statistics and another one in Marketing, both from UNAM Economy Faculty. He has also been an academic in institutions such as ITESM, ITAM and Anáhuac University. He started his professional career at EY as an auditor and actuarial consulting. He has also been a Marketing Manager for CODERE, and for a Microsoft commercial sub-directorate. He’s founder of AR Consultancy in charge of business risk analysis, financial instruments intermediator, trainings and other tasks related to corporate and personal finances.
José Antonio Reyes León
José Antonio Reyes León
PhD in Physico-mathematical Sciences since 2014. Researcher with various articles published in refereed journals of Physics, Statistics and Forest Sciences. Specialist in Analytics and Data Science. Currently, general consultant in the data area. Programming fascinates me and I like to transmit my knowledge in the area to other people.
Adriana Avalos
Adriana Avalos
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Our lessons

About the course

Week 1: Introduction to Data Science

1.1. Data driven innovation

1.2. What is data science?

1.3. Main tasks of data scientists

Week 2: Data extraction

2.1. Data life cycle, data quality, security and privacy

2.2. Data collection source.

2.3. Data extraction techniques

2.4. Google APIs

Week 3: Data Transformation

3.1. Data exploration

3.2. Data cleansing

3.3. Quartiles and anomalous data

3.4. Data normalization and standardization

Week 4: Data analysis

4.1. Machine Learning techniques

4.2. Classification and regression

4.3. Data visualization

4.4. Storytelling

IT Program

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Transform data into information and use the info to your advantage.

One-to-one course

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$ 200
USD
  • Iteractive content based on gamification practices designed by experts in TI
  • HD Video content
  • Hands-on exercises using Python and Google Colab
  • Student pace course, learn whenever you want
  • Gain a Microcredential based on Blockchain technology at the end of the course
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Bundle IT

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$ 800
USD
  • Full access to all 4 courses
  • Access to special webinar events in different topics related to IT
  • 4 microcredentiaís an 1 digital certificate at the end of the courses validated by European Universities
  • Special technical support partners for better user experience during your learning
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FAQs

about the program

You just need a device to enter to our content and this way you will finish the course developing skills about BIG DATA and some Google tools.

100 % online

Approximately our course includes 80 instructional hours.

The certification is supported by the universities that developed the courses.

Google collaborated with the learning material provision and the guidance to create this program.