• Learn data skills you can apply in the real world.

  • No prior knowledge required.

  • Flexible and affordable education.

YOUR DATA PATH TO DATA EXCELLENCE STARTS HERE

Introducing Our Data Practitioner Degree for Tomorrow's Leaders.


The Data Practitioner Degree is an online, immersive, and practical course that equips students with a holistic understanding of data, spanning data engineering, data science, machine learning, generative AI, SQL, traditional databases, and proficiency in programming languages such as Python and R. 


In an era where data drives decisions across industries, this course offers a unique opportunity to master these critical skills while learning from industry professionals and real-world case studies.


Enroll now in Nerio Data School's Data Practitioner Degree and supercharge your learning with NENA AI!

Crafted exclusively to support our students, NENA AI ensures you have 24/7 AI personalized guidance and tutoring needed to excel in your data journey .

Don't miss out — take the leap to success today! #EnrollNow #NENAAISupport
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Meet your Instructor

Fernando Ferrer

SENIOR INSTRUCTOR

Fernando Ferrer (LinkedIn profile) stands at the forefront of data engineering, recognized internationally for his groundbreaking contributions to electronic data capture systems in medical research. His innovative work, particularly at prestigious institutions like Queen's University, has revolutionized the way medical data is collected and analyzed, leading to significant advancements in the field.

As a founding team member of Q2 Metrics, Ferrer played a pivotal role in the company's development and success. His expertise and leadership were instrumental in the creation of cutting-edge healthcare data solutions, culminating in the company's acquisition by IQVIA in 2017—a testament to his vision and impact on the industry.

Ferrer's passion for knowledge extends to academia, where he has shaped the minds of future data experts. At SENECA College in Toronto, Canada, he imparted his extensive knowledge in data systems, while at the Rome Business School in Italy, he delved into the complexities of Artificial Intelligence, reflecting his diverse expertise.

His consultancy work with Fortune 100 companies and fast-growing startups showcases his versatility and ability to drive data strategies in various organizational contexts. Ferrer's insights and approaches have consistently delivered transformative results, earning him a reputation as a trusted advisor in the data science community.

In addition to his professional endeavors, Ferrer is a key advisor to a health-tech venture capital firm, where he leverages his extensive industry experience to identify and nurture the next generation of healthcare innovations.

Fernando Ferrer's career is marked by a relentless pursuit of excellence and innovation in data engineering and science, making him a distinguished figure in the realm of technology and beyond.

DOWNLOAD THE DATA PRACTITIONER DEGREE CURRICULUM

Join us at Nerio Data School where innovation meets education, and take your first step towards a flourishing career in data.

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DATA PRACTITIONER DEGREE MODULES

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    1. Terms and conditions

    2. Welcome

    3. Tools You'll Need - Getting started with Docker

    4. Postgres/MySQL on Docker

    5. Getting started with DBeaver

    6. Getting started with DataGrip

    7. DataGrip and MySQL

    8. Getting Started with VS Code

    9. Nena AI Tutor

    1. DATA FORMAT - XML

    2. JSON

    3. PARQUET

    4. TABULAR FORMAT

    5. Data Format Test

    1. GIT - Introduction to GIT

    2. Creating a GitHub Repo

    3. Creating and Initializing your First Repository

    4. GIT Flow

    5. Viewing commit history

    6. GitHub and GitLab

    7. Collaborating and Conflicts

    8. Git Test

    9. Git Assignment

    1. DB - Introducing Databases

    2. ANSI SQL Standard

    3. SQL - SELECT QUERIES

    4. WHERE Operators

    5. WHERE in vs ANY

    6. WHERE ANY and NOT ANY

    7. SUBQUERIES

    8. Working with Dates 1

    9. Working with Dates 2

    10. Working with Dates 3

    11. Working with Dates 4

    12. Order By and Limit By

    13. Common errors

    14. Groups By

    15. Wild Cards

    16. DDL and DML

    17. DML Queries

    18. Data types: NUMERIC

    19. Data types: MONEY

    20. Data types: STRING

    21. Data types: BOOLEAN

    22. DDL Queries

    23. Primary Keys

    24. FOREIGN KEYS

    25. CONSTRAINTS

    26. VIEWS

    27. Relational Model

    28. Advance Data Types

    29. INNER JOIN

    30. Left and Right Join

    31. Inverse LEFT-RIGHT Join

    32. FULL/INVERSE OUTER JOIN

    33. Normalization Intro

    34. Normalization 1st Form

    35. Normalization 2nd Form

    36. Normalization 3rd Form

    37. Entity Relationship Diagram

    38. Normalization Summary

    39. To Normalize or Not

    40. Distinct and Distinct ON

    41. Functions Math

    42. Functions STRINGS

    43. Functions DATE

    44. COUNT, SUM.

    45. CASE WHEN

    46. SQL Test

    47. SQL Assignment

    1. Intro to PLSQL

    2. PLSQL FUNCTIONS

    3. PLSQL PROCEDURES

    4. PLSQL TRIGGERS

    5. PLSQL ERROR HANDLING

    6. PLSQL LOOPS AND POINTERS

    7. PLSQL - Test

    8. PLSQL - Assigment

    1. M5 ANALYTICAL SQL - INTRO AND OLAP VS OLTP

    2. TRANSACTIONS AND OLTP SYSTEMS

    3. CTE

    4. WINDOWING FUNCTIONS

    5. RANK VS DENSE RANK VS ROW NUM

    6. NO PARTITIONS

    7. LEAD VS LAG

    8. FIRST VAL VS LAST VAL

    9. NTILE VS NVALUE

    10. PERC_RANK AND CUME_DIST

    11. RUNNING TOTAL

    12. RECURSIVE CTEs

    13. CREATE SERIES

    14. SPATIAL SQL

    15. INSTALLING POSTGRES GIS

    16. GEO POINTS

    17. CALC.DISTANCE BETWEEN TWO POINTS

    18. GEO OBJECTS

    19. PIVOT USING SUM

    20. Analytical SQL - Test

    21. Analytical SQL - Assignment

Data Practitioner Degree

  • $99.99 / month
  • Real World Data Skills
  • 100% Beginner-friendly
  • Flexible and affordable education.

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