Programmes de cette formation

• - Data Engineering Foundation

  • DATA ENGINEERING INTRODUCTION
  • DATA SOURCES AND DATA IMPORT
  • DATA PROCESSING
  • DATA ENGINEERING PROJECT

• - Python Foundation

  • PYTHON BASICS
  • PYTHON CONTROL STATEMENTS
  • PYTHON DATA STRUCTURES
  • PYTHON FUNCTIONS
  • PYTHON NUMPY PACKAGE
  • PYTHON PANDAS PACKAGE

• - Data Science Foundation

  • DATA SCIENCE ESSENTIALS
  • DATA ENGINEERING FOUNDATION
  • PYTHON FOR DATA SCIENCE
  • PYTHON FOR DATA SCIENCE
  • R LANGUAGE ESSENTIALS
  • STATISTICS
  • MACHINE LEARNING INTRODUCTION

• - Version Control with Git

  • GIT INTRODUCTION
  • GIT REPOSITORY and GitHub
  • COMMITS, PULL, FETCH AND PUSH
  • TAGGING, BRANCHING AND MERGING
  • UNDOING CHANGES
  • GIT WITH GITHUB AND BITBUCKET

• - Big Data Foundation

  • BIG DATA INTRODUCTION
  • HDFS AND MAP REDUCE
  • PYSPARK FOUNDATION
  • SPARK SQL and HADOOP HIVE
  • MACHINE LEARNING WITH SPARK ML
  • KAFKA and Spark

• - Certified BI Analyst

  • BUSINESS INTELLIGENCE INTRODUCTION
  • BI WITH TABLEAU: INTRODUCTION
  • TABLEAU: CONNECTING TO DATA SOURCE
  • TABLEAU : BUSINESS INSIGHTS
  • DASHBOARDS, STORIES AND PAGES
  • BI WITH POWER-BI

• - Database: SQL and MongoDB

  • DATABASE INTRODUCTION
  • SQL BASICS
  • DATA TYPES AND CONSTRAINTS
  • DATABASES AND TABLES (MySQL)
  • SQL JOINS
  • SQL COMMANDS AND CLAUSES
  • DOCUMENT DB/NO-SQL DB

• - Data Engineering Associate

  • DATA WAREHOUSE FOUNDATION
  • DOCKER FOUNDATION
  • KUBERNETES CONTAINER ORCHESTRATION
  • DATA ORCHESTRATION WITH APACHE AIRFLOW
  • DATA ENGINEERING PROJECT

• - Data Engineering on AWSCloud

  • AWS DATA SERVICES INTRODUCTION
  • DATA INGESTION USING AWS LAMDBA
  • DATA PREPARATION WITH AWS GLUE
  • SPARK APP USING AWS EMR
  • DATA PIPELINE WITH AWS KINESIS
  • DATA WAREHOUSE WITH AWS REDSHIFT
  • DATA ENGINEERING PROJECT

• - Data Engineering on Azure Cloud

  • AZURE DATA SERVICES INTRODUCTION
  • STORAGE IN AZURE
  • DATA PIPELINE WITH AZURE SYNAPSE
  • DATA ENGINEERING PROJECT WITH AZURE