Data Analytics Workshop

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Agenda Introduction to Data Analytics Data Science. Components of Data Science 3 Arcs of Data Science. See Data Analytics in Action. (Workshop.) Stages of Data Analytics. Where to go from here? Example of a Data Analytics Process in an Organization. Different Flavours of Data Analytics. Data Analytics Tools. Skills needed to become a Data Analytics.

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A Little Bit About Myself... Stephen Oladele - Data Science Consultant. - Technical Reviewer, Packt Publishing Co. - Lead Volunteer, Port Harcourt School Of AI.

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You take lessons from past experiences and make future or present deductions based on the lessons. Introduction to Data Analytics Data Science. Data Science is something you already do. Before talking about Analytics, let’s discuss Data Science.

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Components of Data Science. Data Science/ Statistics Technology = Insights for decision-making. + + Data Science is the extraction of insights from data through the use of computer algorithms and other scientiﬁc methods with the end goal of making reasonable deductions, conclusions, and/or effective predictions.

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3 Arcs of Data Science Data Analytics Machine Learning Data Engineering

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Stages of Data Analytics Analytics Stages Questions to Ask ● Descriptive ● What happened? ● Exploratory ● What is going on? ● Explanatory ● Why did it happen? ● Predictive ● What will happen? ● Prescriptive ● How do I take advantage? ● Experimental ● How well will it work?

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Example of a Data Analytics Process in an Organization.

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● Descriptive ● Exploratory ● Exploratory Predictive Prescriptive Prescriptive Experimental Experimental Action/Dec. Data Source from website. Data Source from social media. Data Source from mobile app. Data Warehouse. Extract Transform Load pipeline or ETL pipeline.

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Traditional Analytics Tools ● TABLEAU/Power BI ● MICROSOFT EXCEL ● SAS ● IBM SPSS ● QLIK ● Python/R ● SQL ● And so on...

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Data Analytics in Action

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Skills required to be a Data Analyst ● Statistics ○ Descriptive and inferential stats. ● Data Understanding ○ Data Ethics and Security ● MICROSOFT EXCEL ● Python ● SQL ● And THEN Other Useful Tools.

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Flavours of Data Analytics ● Pricing Analytics ● Social Media Analytics ● Business Analytics ● People Analytics ● Learning Analytics ● Real-Estate Analytics

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Where to go from here? 1. Data Science & Analytics Career Paths & Certiﬁcations: First Steps (LinkedIn Learning) 2. Excel Fundamentals for Data Analysis (Coursera)

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QUESTIONS?

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THANKS FOR ATTENDING! https://www.linkedin.com/in/ stephenoladele/ @nerdCyberArtist Links to presentation, and profile;