[Liora] EN – Carrousels programme

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Fundamentals of Python

Statistics

Data Quality (optional)

Matplotlib

Seaborn

Additional Matplotlib (optional)

Bokeh (optional)

The Art of Storytelling (optional)

Plotly (optional)

Machine Learning Data Analyst

Algorithms and Methodology for Classification with Scikit-Learn (optional)

Pipeline (optional)

Streamlit (optional)

Data Analysis

Time Series with Statsmodels (optional)

Text Mining

Webscraping with BeautifulSoup

Web Scraping with Selenium (optional)

Business Intelligence

Power BI

Looker Studio

Tableau (optional)

No-Code Automation with Make (optional)

SQL Language

Fundamental Theory of Data Integration (optional)

Python Fundamentals

NumPy

Pandas

Matplotlib

Seaborn

Bokeh (optional)

Classification models and algorithms

Advanced classification of models

Clustering methods

Regression methods

Time Series with Statsmodels

Text Mining

Size Reduction Methods

Machine Learning and Graph Theory with NetworkX (optional)

SQL Language

PySpark

Deep Learning with Keras framework

TensorFlow

Introduction to Reinforcement Learning

Deep Reinforcement Learning

Python

Web Scraping

Git

GitHub

Unit Tests

Linux System and Bash Script

SQL

MongoDB

HBase

ElasticSearch

Neo4J

Hadoop and Hive

PySpark

Java Spark

Streaming architecture

Kafka

Spark Streaming

Statistics

Machine Learning

Data Visualization

APIs

Docker

Airflow

Kubernetes

Fundamentals of Python

Statistics

Data Quality (optional)

Matplotlib

Seaborn

Additional Matplotlib (optional)

Bokeh (optional)

The Art of Storytelling (optional)

Plotly (optional)

Machine Learning Data Analyst

Algorithms and Methodology for Classification with Scikit-Learn (optional)

Pipeline (optional)

Streamlit (optional)

Data Analysis

Time Series with Statsmodels (optional)

Text Mining

Webscraping with BeautifulSoup

Web Scraping with Selenium (optional)

Business Intelligence

Power BI

Looker Studio

Tableau (optional)

No-Code Automation with Make (optional)

SQL Language

Fundamental Theory of Data Integration (optional)

Linux & Bash

API

Git / GitHub (optional)

Unit-Tests (optional)

SQL Language

Fundamentals of Data Integration

NoSQL Databases (MongoDB) (optional)

Snowflake

BigQuery

Data Warehousing with DBT (ELT)

Talend Open Studio

Best Practices in Data Warehousing

ETL with PySpark

Airflow

From Data Integration to Data Analytics

Programming

NumPy

Pandas

Matplotlib

Seaborn

Plotly (optional)

Git

GitHub

Unit Tests

Linux System and Bash Script

Classification Models and Algorithms

Clustering Methods

Regression Methods

Time Series with Statsmodels

Anomaly Detection

Size Reduction Methods

Text Mining

Webscraping

Ethics & Interpretability

Recommender Systems

Reinforcement Learning

Graph Theory

Dense Networks

Convolution Networks

TensorFlow

SQL

API

PySpark

MLFlow

Docker

Programmation Linux & Bash

Docker

MLFlow

Unit Testing

DVC & DagsHub

Jenkins

Airflow

BentoML

Prometheus & Grafana

SQL

Kubernetes

ZenML

Weights & Biases

AWS Cloud Practitioner

Introduction to Data in Business

Fundamentals of Data Architecture

The Different Types of Data Consumption

Google Sheets for Digital Marketing

Fundamentals of Python

Webscraping with BeautifulSoup (optional)

Data Manipulation with Pandas (optional)

SQL for Data Analysis (optional)

Google Analytics 4 (GA4)

Google Tag Manager (GTM)

Keys to Traffic Acquisition

Social Media Ads

SEA with Google Ads

Overview of No-Code Tools

Fundamentals of Generative AI and Prompting

Data API Fundamentals

Automation and AI Agents with n8n

Marketing Strategy

CRM & Marketing Automation

Content Generation & Automation with Make

Website Generation with v0

Webscraping with BeautifulSoup (optional)

Introduction to Business Intelligence

Looker Studio

UX & UI Design

GDPR, Ethics and AI Act

Power BI (optional)

Data Product Manager

Project Management

Data Governance

Agile Method

Programmation Linux & Bash

Docker

MLflow

Unit Testing

DVC & DagsHub

Airflow

Jenkins

BentoML

Prometheus & Grafana

SQL

Kubernetes

ZenML

ZenML

AWS Cloud Practitioner

Python

Web Scraping

Git

Linux System and Bash Scripting

Github

SQL

MongoDB

HBase

ElasticSearch

Neo4J

Hadoop and Hive

PySpark

Scala Spark

Streaming Architecture

Streaming with Spark

Webscraping

AWS Solutions Architect

Statistics

Data Visualization

Machine Learning

MLFlow

AWS Solutions Architect

Securing APIs

Docker

Kubernetes

Airflow

GitLab

Unit Testing with Python

Prometheus & Grafana

Virtualisation & Vagrant

Administration of Linux Systems

NGINX

Jenkins

GitLab

Terraform

Ansible

Prometheus

Grafana

Datadog

Sentry (optional)

AWS Cloud Basics

AWS Lambda

AWS CodePipeline

AWS API Gateway

AWS CloudFormation

FastAPI

Linux and Bash

Virtualization and Vagrant

Python Basic and Advanced

Administration of the Linux Systems

NGINX

Data Structure and Storage (optional)

SQL Language

PostgreSQL

MongoDB

Neo4J (optional)

Elasticsearch (optional)

Git/GitHub

Docker

GitLab

Kubernetes

Jenkins

Unit Tests (optional)

AWS Cloud Practitioner

AWS Solutions Architect

Terraform

Ansible

Prometheus

Grafana

Datadog

Sentry (optional)

AWS – Lambda

AWS – API Gateway

AWS – CodePipeline

AWS – CloudFormation

AWS – Migration to the Cloud (optional)

AWS – X-Ray (optional)

AWS – CodeStar (optional)