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SQLSaturday #929 - Baton Rouge - BI Edition 2020

Start Time (24h) Speaker Track Title
08:30:00 Anandi Subramanian BI Information Delivery Azure Data Factory 101
08:30:00 Sekou Tyler BI Information Delivery Data Visualization Tools For Entrepreneurs
08:30:00 Adrian Owen Analytics and Visualization Everything I Needed to Know About Dashboarding I Learned From World of Warcraft
08:30:00 Ganesh Lohani Analytics and Visualization Data Science 101: An Introduction to Data Science Using Python
08:30:00 Jamey Johnston BI Information Delivery Power BI dataflows and How to Leverage for Data Science
09:45:00 Lee Mendoza Analytics and Visualization Creating Data Tools and Products at the LDH Office of Public Health
09:45:00 Ed Witherington Analytics and Visualization Taking Your Dashboard From Good To Great
09:45:00 Michael Treadwell BI Platform Architecture, Development Administration Snowflake: Design Patterns Data Integration for a Modern Cloud Warehouse
09:45:00 Leslie Andrews BI Platform Architecture, Development Administration A Perfect Ten: The Data Model
09:45:00 Chris Hyde Analytics and Visualization Data Engineering Brick-by-Brick: An Introduction To Azure Databricks
09:45:00 Chris Hyde Analytics and Visualization Python in SQL Server 2017 and 2019
11:00:00 Thomas LeBlanc Other Pure Storage (Sponsor)
11:00:00 Balaji Nedurumalli Other Safety Alliance Council (Sponsor)
11:00:00 Jennifer Gartner Other A Data Journey for an Analytics Company
11:00:00 Rusty Frioux Other 2020 Regional Trends in Business Intelligence Analytics
11:00:00 Eric Nail Application Database Development SQL and Pure Storage - Like Peanut Butter and Chocolate (With Prizes!)
11:30:00 Ed Pearson BI Platform Architecture, Development Administration Enabling Real Time Analytics through Azure
11:30:00 Tim Costello BI Information Delivery Tableau eye for the PowerBI guy
11:30:00 Bill Anton BI Platform Architecture, Development Administration Power BI Time Intelligence - Beyond the Basics
11:30:00 Leslie Andrews BI Platform Architecture, Development Administration Building a Strong Foundation for Data Analysis
11:30:00 Kevin Feasel Artificial Intelligence Classification With Naive Bayes
13:45:00 Treb Gatte BI Platform Architecture, Development Administration Five Key Trends in Business Intelligence
13:45:00 Tim Costello Business Analytic Cases How to build an analytics team
13:45:00 William Assaf BI Platform Architecture, Development Administration Careers in Business Intelligence Panel
13:45:00 Dan Szepesi BI Platform Architecture, Development Administration Troubleshooting PowerBI Performance Problems
13:45:00 Kevin Feasel Analytics and Visualization Launching a Data Science Project: Cleaning is Half the Battle
15:00:00 William Assaf Business Analytic Cases Ethics in Data
15:00:00 Rusty Frioux BI Information Delivery Enterprise PowerBI for large organizations
15:00:00 Michelle Gaudette Analytics and Visualization Best Practices in Dashboard Design: Designing with your end user in mind.
15:00:00 Treb Gatte Analytics and Visualization How to mine data in SharePoint easily, using Power BI
15:00:00 Jamey Johnston Machine Learning Code Like a Snake Charmer – Advanced Data Modeling in Python!

SessionID: 100891

Azure Data Factory 101

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Event Date: 07-03-2020 - Session time: 08:30:00 - Track: BI Information Delivery

Speaker: Anandi Subramanian

Title: Azure Data Factory 101

Abstract:

You're tasked with moving SSIS packages to Azure. How do you tackle these existing ETL processes to work seamlessly in Azure? Join David Nguyen and Anandi Subramanian as they demonstrate the basics, highlight some challenges, and things you need to know about Azure Data Factory Version 2, Microsoft's new data integration and orchestration engine for Azure. The speakers will discuss similarities and differences between ADF and SSIS, and walk through strategies for "lifting and shifting" SSIS workloads directly to ADF and Azure.

SessionID: 102148

Data Visualization Tools For Entrepreneurs

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Event Date: 07-03-2020 - Session time: 08:30:00 - Track: BI Information Delivery

Speaker: Sekou Tyler

Title: Data Visualization Tools For Entrepreneurs

Abstract:

Are you an aspiring entrepreneur who wants to do more with your data? Have you ever wondered what are some of the key differences between different data visualization tools? In this session I will provide a high level overview of different data visualization tools and discuss pros and cons of each. The goal of this session is to provide you with information that will help you determine which tool is best for you!

SessionID: 98049

Everything I Needed to Know About Dashboarding I Learned From World of Warcraft

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Event Date: 07-03-2020 - Session time: 08:30:00 - Track: Analytics and Visualization

Speaker: Adrian Owen

Title: Everything I Needed to Know About Dashboarding I Learned From World of Warcraft

Abstract:

The LSU Foundation embarked on its first $1B+ campaign in the university's history. To prepare, the organization saw the need to instill discipline, overhaul its systems, and develop a progressive business intelligence shop from the ground up. In this session you will hear from a world ranked World of Warcraft player on how her experience competing with one of the top guilds in the world provided deep insights that allowed her to build compelling, user friendly dashboards while instilling a culture that embraced transparency and accountability. This is a deep dive into the process that got them there, and the lessons they learned along the way. You will leave this session with concrete, actionable tasks and tools to begin building better dashboards, and a performance driven culture of your own.

SessionID: 98503

Data Science 101: An Introduction to Data Science Using Python

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Event Date: 07-03-2020 - Session time: 08:30:00 - Track: Analytics and Visualization

Speaker: Ganesh Lohani

Title: Data Science 101: An Introduction to Data Science Using Python

Abstract:

SessionID: 99756

Power BI dataflows and How to Leverage for Data Science

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Event Date: 07-03-2020 - Session time: 08:30:00 - Track: BI Information Delivery

Speaker: Jamey Johnston

Title: Power BI dataflows and How to Leverage for Data Science

Abstract:

This session will give you an introduction to Power BI dataflows and how to leverage the data for data science. Power BI dataflows allow for self service data migration into Azure Data Lake Services gen 2 utilizing Power Query.

This session will show how to use dataflows, setup Azure Data Lake Services gen 2 and dataflows and how to connect to the resulting data in the Azure Data Lake Services gen 2 to do Data Science with tools like Azure Databricks.

This session will use real data and analytics to demonstrate Power BI dataflows, Azure Data Lake Services gen2 and Azure Databricks utilizing DAX, M and Python.

SessionID: 100625

Creating Data Tools and Products at the LDH Office of Public Health

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Event Date: 07-03-2020 - Session time: 09:45:00 - Track: Analytics and Visualization

Speaker: Lee Mendoza

Title: Creating Data Tools and Products at the LDH Office of Public Health

Abstract:

The Louisiana Department of Health provides a wide range of services to promote and protect the health of people living in Louisiana. The LDH Office of Public Health – Bureau of Health Informatics uses a variety of tools to perform data exploration, conduct data analysis, construct data tools, and create dashboards to help meet the goal of monitoring and improving health. In this session, you’ll see how we use these tools to study data and present public-facing information on topics such as social determinants of health, the opioid epidemic, and the treatment of Hepatitis C. Along the way, we’ll look at mapping in Tableau and how to build a Tableau dashboard embedded in a web page.

SessionID: 100636

Taking Your Dashboard From Good To Great

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Event Date: 07-03-2020 - Session time: 09:45:00 - Track: Analytics and Visualization

Speaker: Ed Witherington

Title: Taking Your Dashboard From Good To Great

Abstract:

Putting together an initial dashboard can have its own challenges. However, what does it take to go from a dashboard that meets requirements to one that shines and dazzles?

This talk will look at best practices for which types of visuals to use, as well as which should be averted and why. We will dig into things like colors to avoid, good charts and bad charts, and ways to maximize the visual real estate.

SessionID: 100733

Snowflake: Design Patterns Data Integration for a Modern Cloud Warehouse

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Event Date: 07-03-2020 - Session time: 09:45:00 - Track: BI Platform Architecture, Development Administration

Speaker: Michael Treadwell

Title: Snowflake: Design Patterns Data Integration for a Modern Cloud Warehouse

Abstract:

Snowflake is a data warehouse built from the ground up to take advantage of all that the cloud has to offer. We’ll take a walkthrough of the system from setup to usage and see a demonstration of how Snowflake can supercharge your BI platform. This session will show you how to rethink old design patterns to make use of ELT, not ETL, in a scalable cloud environment.

SessionID: 99459

A Perfect Ten: The Data Model

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Event Date: 07-03-2020 - Session time: 09:45:00 - Track: BI Platform Architecture, Development Administration

Speaker: Leslie Andrews

Title: A Perfect Ten: The Data Model

Abstract:

Do you know what makes a great data model? What does it mean to be Third Normal Form or a Star Schema? When would you use one over the other and why? How can you identify bad designs? In this presentation you will be exposed to good and bad models and learn what you should do in order to create a perfect ten model of your own!

SessionID: 99850

Data Engineering Brick-by-Brick: An Introduction To Azure Databricks

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Event Date: 07-03-2020 - Session time: 09:45:00 - Track: Analytics and Visualization

Speaker: Chris Hyde

Title: Data Engineering Brick-by-Brick: An Introduction To Azure Databricks

Abstract:

Do you want to be a Data Engineer in the next step on your career path? Maybe you're just getting started in the rapidly-growing Data Science and Analytics space? Or perhaps you're already doing on-premises analytics and want to take things to the cloud? Then come to this introductory session and see what Azure Databricks can do for you!

Azure Databricks provides a cloud-based Apache Spark environment that can be scaled up and out to tackle your big data analytics needs. We'll look at how to set up your first Azure Databricks cluster, how to use shared notebooks in a collaborative environment, and how to leverage the integrated Azure Machine Learning capabilities. We'll also discuss where Azure Databricks fits in the modern cloud data warehouse.

SessionID: 99851

Python in SQL Server 2017 and 2019

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Event Date: 07-03-2020 - Session time: 09:45:00 - Track: Analytics and Visualization

Speaker: Chris Hyde

Title: Python in SQL Server 2017 and 2019

Abstract:

SQL Server 2017 and 2019 have arrived, bringing with them a host of exciting new features. Of particular interest to BI practitioners and data scientists is the integration of the Python programming language into the SQL ecosystem. This integration opens up a number of possibilities for in-database analytics and intelligent database applications, so let's get started!

In this introductory session we'll briefly introduce the Python language and then look at how to install and administer Machine Learning Services. We'll start to demonstrate the power of Python by showing you how to create and run simple scripts from within T-SQL. We'll then discuss some of the powerful open source packages that are available to aid your data analyses. Finally, we'll go through some examples of how to use Python to integrate data analytical methods in real-world situations, and wow your customers with the power of analytics!

SessionID: 103770

Pure Storage (Sponsor)

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Event Date: 07-03-2020 - Session time: 11:00:00 - Track: Other

Speaker: Thomas LeBlanc

Title: Pure Storage (Sponsor)

Abstract:

Gold Sponsor - Pure Storage

SessionID: 103775

Safety Alliance Council (Sponsor)

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Event Date: 07-03-2020 - Session time: 11:00:00 - Track: Other

Speaker: Balaji Nedurumalli

Title: Safety Alliance Council (Sponsor)

Abstract:

Gold Sponsor - Safety Alliance Council

SessionID: 104069

A Data Journey for an Analytics Company

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Event Date: 07-03-2020 - Session time: 11:00:00 - Track: Other

Speaker: Jennifer Gartner

Title: A Data Journey for an Analytics Company

Abstract:

Often the most challenging aspect of becoming a data-driven organization is determining where to start. Case in point: Icimo Analytics. As a company that transforms data into meaningful business value, we were neglecting our own data journey. Externally, we were transforming organizations into lean data machines while internally, we were still relying heavily on spreadsheets, multiple platforms and disparate systems. Turning our expertise inward, we designed dynamic dashboards fueled by Tableau and Alteryx to see a one-stop holistic view of our entire business. The end result? Each employee is strategically positioned to see, understand and make data-driven informed decisions driving value and setting the foundation for lasting growth and success.

SessionID: 104125

2020 Regional Trends in Business Intelligence Analytics

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Event Date: 07-03-2020 - Session time: 11:00:00 - Track: Other

Speaker: Rusty Frioux

Abstract:

Gartner has their perspective on the analytics industry, but what is happening in our own backyard? Join Rusty Frioux from Sparkhound as he leads a discussion about projects and initiatives he's seen in Louisiana this year and what services Sparkhound expects to be in demand through 2021.

SessionID: 104134

SQL and Pure Storage - Like Peanut Butter and Chocolate (With Prizes!)

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Event Date: 07-03-2020 - Session time: 11:00:00 - Track: Application Database Development

Speaker: Eric Nail

Title: SQL and Pure Storage - Like Peanut Butter and Chocolate (With Prizes!)

Abstract:

In this session, I will talk about how Pure Storage technologies can help you save a ton of time, work, and storage space. I will also briefly discuss our new - and totally free - SSMS plugin, which makes working with our storage easier than ever before for DBA's. There will be prizes for random attendees.

SessionID: 100318

Enabling Real Time Analytics through Azure

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Event Date: 07-03-2020 - Session time: 11:30:00 - Track: BI Platform Architecture, Development Administration

Speaker: Ed Pearson

Title: Enabling Real Time Analytics through Azure

Abstract:

How do we deliver more business value to data hungry customers who constantly want more and faster? How do we enable automation to deliver complex solutions that provide consistent data to empower a self-service BI environment?

I will demonstrate how our analytics team is leveraging Azure and cloud-native technologies to ensure we can meet the demands of our customer base, and in turn, deliver faster and higher volume results.

My presentation will walk through an end-to-end solution – from data acquisition using Azure Logic Apps; data transformation via Azure Data Factory; and ending with reporting in PowerBI.

SessionID: 100719

Tableau eye for the PowerBI guy

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Event Date: 07-03-2020 - Session time: 11:30:00 - Track: BI Information Delivery

Speaker: Tim Costello

Title: Tableau eye for the PowerBI guy

Abstract:

A quick glance at the sessions scheduled shows there are lots of talks about PowerBI. This is your chance to check out the competition. I've been excited about Tableau for over 10 years. I'll show you why I think it's the best choice for building a data driven culture in your organization. We will explore the Tableau Prep tool, Tableau Builder and take a look at Tableau Server.

SessionID: 101346

Power BI Time Intelligence - Beyond the Basics

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Event Date: 07-03-2020 - Session time: 11:30:00 - Track: BI Platform Architecture, Development Administration

Speaker: Bill Anton

Title: Power BI Time Intelligence - Beyond the Basics

Abstract:

Time-Intelligence refers to doing BI calculations across periods of time (usually dates), and is the most common type of analysis in business reporting. Month-to-Date (MTD), Year-to-Date (YTD), Prior-Month (PM), Prior-Year (PY), Month-over-Month (MoM), Year-over-Year (YoY) are all examples of Time-Intelligence calculations. There are many approaches to implementing time-intelligence into your Power BI solutions, including the use of built-in date tables and time-intelligence functions. In this session, we'll explore several of these approaches and the associated tradeoffs. We'll also learn about the importance of a good date table, what attributes it should include, and how it can be leveraged to simplify more complex time-intelligence calculations. We'll also take the first step in mastering DAX by familiarizing ourselves with the CALCULATE function.

SessionID: 99460

Building a Strong Foundation for Data Analysis

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Event Date: 07-03-2020 - Session time: 11:30:00 - Track: BI Platform Architecture, Development Administration

Speaker: Leslie Andrews

Title: Building a Strong Foundation for Data Analysis

Abstract:

We are living in a world full of data but what we need is information. What is required to transform data into information? What are the foundational activities your organization needs to do in order to produce analytics that you are confident in sharing? In this session we will discuss what is needed for your organization to convert data into information, the basics of: Data Governance, Data Modeling and how to have an immediate impact using tools like Power BI to deliver value; and, Data Visualizations and telling stories with the data.

SessionID: 99486

Classification With Naive Bayes

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Event Date: 07-03-2020 - Session time: 11:30:00 - Track: Artificial Intelligence

Speaker: Kevin Feasel

Title: Classification With Naive Bayes

Abstract:

The Naïve Bayes series of algorithms are some of the simplest classification algorithms, but they tend to offer reasonably good results very quickly for a number of problems, including Natural Language Processing problems such as spam classification, as well as more classical feature-driven classification. In this talk, we will look at the math behind Naïve Bayes classification, solving problems by hand before looking at a package in R which solves the problem for us. By the end of this talk, you should be able to apply Naïve Bayes to existing problems. No experience with statistics is required, although there will be a small amount of math.

SessionID: 104110

Five Key Trends in Business Intelligence

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Event Date: 07-03-2020 - Session time: 13:45:00 - Track: BI Platform Architecture, Development Administration

Speaker: Treb Gatte

Abstract:

SessionID: 104136

How to build an analytics team

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Event Date: 07-03-2020 - Session time: 13:45:00 - Track: Business Analytic Cases

Speaker: Tim Costello

Title: How to build an analytics team

Abstract:

Everyone wants a high functioning internal analytics team, but what does it take to make that happen? In this session I share the six key factors I've identified in my 20 years of experience in the field. I will show you what you need and some of the tools that make it easier to succeed in building (or reviving) an analytics team.

SessionID: 98109

Careers in Business Intelligence Panel

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Event Date: 07-03-2020 - Session time: 13:45:00 - Track: BI Platform Architecture, Development Administration

Speaker: William Assaf

Title: Careers in Business Intelligence Panel

Abstract:

A panel discuss of BI professionals, intended for job seekers, students, and professionals looking to transition into Business Intelligence fields.

SessionID: 98797

Troubleshooting PowerBI Performance Problems

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Event Date: 07-03-2020 - Session time: 13:45:00 - Track: BI Platform Architecture, Development Administration

Speaker: Dan Szepesi

Title: Troubleshooting PowerBI Performance Problems

Abstract:

Power BI is a great tool for mashing up and visualizing data. If you are not careful though, you end up with visuals that take too long to load and a PBIX that exhausts available memory. This session shows you how to maintain the crisp performance and stunning compression that you want in every data model.

To help with the optimization effort, Dan will demonstrate common tools for troubleshooting Power BI performance issues. He will also review some common mistakes that drain the life from models and provide ways to avoid these pitfalls.

SessionID: 99489

Launching a Data Science Project: Cleaning is Half the Battle

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Event Date: 07-03-2020 - Session time: 13:45:00 - Track: Analytics and Visualization

Speaker: Kevin Feasel

Title: Launching a Data Science Project: Cleaning is Half the Battle

Abstract:

There's an old adage in software development: Garbage In, Garbage Out. This adage certainly applies to data science projects: if you simply throw raw data at models, you will end up with garbage results. In this session, we will build an understanding of just what it takes to implement a data science project whose results are not garbage. We will the Microsoft Team Data Science Process as our model for project implementation, learning what each step of the process entails. To motivate this walkthrough, we will see what we can learn from a survey of data professionals' salaries.

SessionID: 100687

Ethics in Data

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Event Date: 07-03-2020 - Session time: 15:00:00 - Track: Business Analytic Cases

Speaker: William Assaf

Title: Ethics in Data

Abstract:

This session will explore a variety of considerations that modern data scientists and data practictioners must account for when gathering and presenting data, including topics on bias, construct analysis, and machine learning.

SessionID: 101047

Enterprise PowerBI for large organizations

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Event Date: 07-03-2020 - Session time: 15:00:00 - Track: BI Information Delivery

Speaker: Rusty Frioux

Title: Enterprise PowerBI for large organizations

Abstract:

Suppose you work for a large organization with hundreds or even thousands of potential Power BI users. Is Power BI for you? Can it handle the workload? The answer is YES! Join Bryan Smith and Rusty Friouxs they discuss the deployment and governance of Power BI at scale. Topics will include the benefits of Power BI Pro, proper use of Active Directory for user management, the Power BI API, PowerBI DataFlows, integration with large ERP systems like SAP, among others.

SessionID: 101076

Best Practices in Dashboard Design: Designing with your end user in mind.

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Event Date: 07-03-2020 - Session time: 15:00:00 - Track: Analytics and Visualization

Speaker: Michelle Gaudette

Title: Best Practices in Dashboard Design: Designing with your end user in mind.

Abstract:

In this session, Michelle will share tips and tricks for designing business dashboards that engage, excite, and inform your end users. Using research-based best practices and principles of design, you will learn how to develop dashboards from a people-first perspective, to help you get your message across to your end user. You will leave this session with new skills, techniques, and a ton of resources to get you on your way!

SessionID: 101761

How to mine data in SharePoint easily, using Power BI

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Event Date: 07-03-2020 - Session time: 15:00:00 - Track: Analytics and Visualization

Speaker: Treb Gatte

Title: How to mine data in SharePoint easily, using Power BI

Abstract:

See how to use Power BI to mine the data you have in SharePoint and Office 365. We’ll pull data from lists, files in libraries, triggered activities using Microsoft Power Automate, and show how to embed reports in SharePoint/Teams. We will provide a short Power BI licensing overview as well. We’ll also show you how this can be automated so that you save time and money by eliminating a manual process.

SessionID: 99753

Code Like a Snake Charmer – Advanced Data Modeling in Python!

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Event Date: 07-03-2020 - Session time: 15:00:00 - Track: Machine Learning

Speaker: Jamey Johnston

Title: Code Like a Snake Charmer – Advanced Data Modeling in Python!

Abstract:

This session will dive in-depth into proper data modeling and deployment using the Python language including:

  1. Data extraction
  2. Data cleaning
  3. Data transformation
  4. Data exploration and visualization
  5. Predictive modeling
  6. Model validation/testing
  7. Deployment of the solution.

Attend this session to learn how to use Python to conduct data analysis and modeling. We will use Python and packages like pandas, numpy, matplotlib, scikit-learn and others to explore real-world datasets and build data models using proper techniques like feature engineering, splitting datasets into validation and training datasets, testing data models, interpretability of a machine learning (ML) models a