This course is designed for business and data professional seeking to learn the first technical phase of the data science process known as Extract, Transform and Load or ETL. Learners will be taught how to collect data from multiple sources so it is available to be transformed and cleaned and then will dive into collected data sets to prepare and clean data so that it can later be loaded into its ultimate destination. In the conclusion of the course learners will load data into its ultimate destination so that it can be analyzed and modeled. The typical student in this course will have experience working with data and aptitude with computer programming.
Data Preparation and Cleaning
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Skills You'll Learn
Data Cleansing, Data Quality, Data Manipulation, Data Mining, Data Processing, Data Warehousing, Data Transformation, Data Import/Export, Data Collection, Data Integration, Extract, Transform, Load
Reviews
4.7 (31 ratings)
- 5 stars80.64%
- 4 stars16.12%
- 2 stars3.22%
MK
Apr 17, 2024
The course provides knowledge from basic about ETL and its db
JA
Aug 25, 2024
Ce cours est tr猫s utile pour apprendre le processus d'ETL.
From the lesson
Transform Data
The next step in the ETL process is transformation. You'll spend this next module adjusting your data so that it's in a more useful state.
Taught By
Stacey McBrine
CDSP, CAIP, CIoTP, CIoTSP, CFR, CISSP, SSCP, CASP, CFR, CEI, CEH, ECSA, CHFI, CCNA, CCSI, CTT+, LINUX+, PENTEST+, SECURITY+, A+, SCNP, ITIL Foundations, ITIL SO, ITIL OSA, MCSA, MCITP
Sarah Haq
Data Engineer at Artsy