Demystifying Data Science and Analysis

Do you want to learn more about data analysis and data science, but find the terms and phrases used confusing. If so you are not alone. This course will help Demystify Data Science & Data Analysis by defining and explaining the most commonly used and most commonly confused Data Terms and Phrases.

Data is a hot topic right now, and data jobs and responsibilities are increasing. Do you know the difference. Data Lake, Data Warehouse, Data Mart or Data Vault.

Data Scientist, Data Analyst, or Data Engineer. Data Fishing, Data Farming, or Data Mining. Dirty, Dark, or Corrupt Data.

If you want to Understand the Jargon, Speak the Language, and Know the Commonly Used terms & Phrases, this course is for you. Data Job Titles & SkillsDifferentiate between similar titlesKnow their responsibilitiesUnderstand the skills needed to be proficientStoring & Packaging DataDifferentiate between Data Warehouse & Data LakeKnow which data stores work bestLearn the common issues associated with storing dataCollecting & Growing DataDifferentiate between Farming & MiningLearn different ways to grow your data and whyUnderstand why it is important to grow as well as collect dataCleaning & Fixing Data3 steps to cleaning & fixing your dataKnow the common tasks used for cleaning dataData ProtectionDifferentiate between Governance, Compliance, & SecurityResponsibilities for data security and complianceIntroduction to data dishonesty and mis usesData AnalysisBusiness Intelligence planning toolsFrameworks for conducting Data AnalysisHow to analyze data for patterns and trends.