Sessions

Objectifs de cette formation

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