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Machine Learning with Qlik Sense

Machine Learning with Qlik Sense introduces practical applications of machine learning within the Qlik platform. Through this book, you will gain a thorough understanding of fundamental ML concepts, learn to apply these within Qlik Sense, and see how to use predictive analytics to solve real-world problems. The hands-on examples ensure you can translate learnings into actionable insights. What this Book will help me do Understand the key principles of machine learning and how to apply them using the Qlik platform. Develop skills in data preprocessing and analysis to prepare datasets for machine learning models. Learn to validate and interpret machine learning models and evaluate their performance. Master advanced visualization techniques for presenting insights derived from data. Apply newfound knowledge to practical business problems through real-world use-case examples. Author(s) Hannu Ranta is an expert in data analytics and has extensive experience utilizing the Qlik platform to derive actionable insights from data. With years of practical exposure and a focus on teaching, Hannu brings a clear and structured approach to using machine learning for analytics. His writing seeks to empower readers to achieve practical solutions using Qlik's powerful tools. Who is it for? This book is perfect for data analysts, data scientists, or anyone working in data analytics who wants to incorporate machine learning into their skill set. It is especially suited to those with a basic familiarity with Qlik tools or data analysis concepts. Beginners in machine learning can also benefit because the book starts from foundational concepts and builds step-by-step.

Join Avery Smith with special guest Tim Beecher to discuss his incredible journey from a locksmith to a successful data analyst in this inspiring episode of the Data Career Podcast.

Discover how Tim's determination, networking skills, and project-based learning led him to a fulfilling career and learn valuable tips on how to make a similar transformation in your life.

Don't miss this opportunity to gain insights and practical advice from Tim's experiences - tune in now!

💼 Connect with Tim Beecher on Linkedin

🤝 Ace your data analyst interview with the interview simulator⁠

📩 Get my weekly email with helpful data career tips

📊 Come to my next free “How to Land Your First Data Job” training

🏫 Check out my 10-week data analytics bootcamp

Timestamps:

(09:27) - Why data analytics

(10:18) - Get paid to learn data

(24:14) - Using your network to land a job

(36:04) - Day in the life as a Marketing Data analyst

Connect with Avery:

📺 Subscribe on YouTube

🎙Listen to My Podcast

👔 Connect with me on LinkedIn

📸 Instagram

🎵 TikTok

Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

How TOCA Football keeps their eye on the ball with dbt and data observability - Coalesce 2023

TOCA Football, the largest operator of indoor soccer centers in North America, leverages accurate data to power analytics for over 30 training centers, providing everything from operational insights for executives to ball-by-ball analysis.

In 2020, the team adopted a cloud-native data stack with dbt to scale analytics enablement for the go-to-market org, including the company’s finance, strategy, operations, and marketing teams. By 2022, their lean team of four was struggling to gain visibility into the health and performance of their dbt models. So, what was the TOCA team to do? Two words: data observability.

In this talk, Sam Cvetkovski, Director, Data & Analytics discusses how TOCA built their larger data observability strategy to reduce model bloat, increase data accuracy, and boost stakeholder satisfaction with their team’s data products. She shares her biggest “aha!” moments, key challenges, and best practices for teams getting started on their dbt reliability journeys.

Speakers: Sam Cvetkovski, Director, Data & Analytics, TOCA Football; Barr Moses, Co-Founder & CEO, Monte Carlo

Register for Coalesce at https://coalesce.getdbt.com

Identifying novel data issues that go undetected through CI/CD with dbt and Datafold - Coalesce 2023

Join the team from Moody's Analytics as they take you on a personal journey of optimizing their data pipelines for data quality and governance. Like many data practitioners, Ryan and Ravi understand the frustration and anxiety that comes with accidentally introducing bad code into production pipelines—they've spent countless hours putting out fires caused from these unexpected changes.

In this session, Ryan and Ravi recount their experiences with a previous data stack that lacked standardized testing methods and visibility into the impact of code changes on production data. They also share how their new data stack is safeguarded by Datafold's data diffing and continuous integration (CI) capabilities, which enables their team to work with greater confidence, peace of mind, and speed.

Speakers: Gleb Mezhanskiy, CEO, Datafold; Ravi Ramadoss, Director of Data Engineering, Moody's Analytics CRE; Ryan Kelly, Data Engineer, Moody's Analytics CRE

Register for Coalesce at https://coalesce.getdbt.com

Automating accounting's end-of-month close process (and passing a SOX audit) - Coalesce 2023

In this session, the team at Rocket Money explains how they built a Quote-to-Cash (Q2C) system in dbt Cloud that the accounting team uses for end-of-month close. This was also used to pass Rocket Money's first SOX audit with zero deficiencies. The presentation will review how the team gathered requirements (for different products, payment providers, etc.) and built and tested all of their models.

Speaker: Amber Oar, Staff Analytics Engineer, Rocket Money

Register for Coalesce at https://coalesce.getdbt.com

Operationalizing Ramp’s data with dbt and Materialize - Coalesce 2023

Traditional data warehouses excel at churning through terabytes of data for historical analysis. But for real-time, business-critical use cases, traditional data warehouses can’t produce results fast enough—and they still rack up a huge bill in the process.

So when Ramp’s data engineering team needed to serve complex analytics queries on the critical path of their production application, they knew they needed a new tool for the job. Enter Materialize, the first operational data warehouse. Like a traditional data warehouse, Materialize centralizes the data from all of a business’s production systems, from application databases to SaaS tools. But unlike a traditional data warehouse, Materialize enables taking immediate and automatic action when that data changes. Queries that once took hours or minutes to run are up-to-date in Materialize within seconds.

This talk presents how Ramp is unlocking new real-time use cases using Materialize as their operational data warehouse. The best part? The team still uses dbt for data modeling and deployment management, just like they are able to with their traditional batch workloads.

Speakers: Nikhil Benesch, CTO, Materialize; Ryan Delgado, Staff Software Engineer, Data Platform, Ramp

Register for Coalesce at https://coalesce.getdbt.com

Driving toward data mesh at Rivian - Coalesce 2023

This session shares Rivian’s journey building an analytics ecosystem from scratch over the last two years, centered around dbt and dbt Cloud. Through this work, Rivian is driving towards a healthy data mesh that links data and developers across many domains at the company, to enable rapid growth and value as they ramp to produce their new fleet of EVs and keep the world adventurous.

Speakers: Will Bishop, Manager, Data Science Analytics, Rivian

Register for Coalesce at https://coalesce.getdbt.com

Game on: Building massive multiplayer online data products - Coalesce 2023

With dbt and the modern data stack, onboarding and surfacing data has never been more manageable for analytics engineers. Still, 85% of data products never make it into production. Why do data practitioners struggle to create data products that engage the people who actually use them?

Join Jake and Nate as they discuss how integration and collaboration can drive user engagement, ultimately leading to increased adoption. They’ll present guiding principles and three real world examples of data products designed to center and empower business users to: - Replace the need for seeds using materialized Sigma input tables - Create and manage HubSpot contacts and segments using Sigma’s HubSpot template - Sync insights from Sigma directly to downstream systems using the Hightouch integration.

The lessons learned from building a data platform at Sigma will provide everyone a framework for fostering collaboration between data teams and business users so they can raid insights, move up the leaderboard, and level up their gameplay no matter what data stack they use.

Speakers: Nate Meinzer, Director of Partner Engineering, Sigma Computing; Jake Hannan, Senior Manager, Data Platform, Sigma Computing

Register for Coalesce at https://coalesce.getdbt.com

Powering MuleSoft's (a Salesforce Company) modern data analytics framework with dbt - Coalesce 2023

In this session, Yijun Cao and Dakota Kelley highlight how dbt plays a key role in MuleSoft’s modern data analytics framework. As MuleSoft continues to grow, the data platform engineering team encountered some challenges with the data transformations. The session dives deeper into the specific challenges faced by the team and demonstrates how dbt’s features including CI/CD, testing, documentation and lineage help overcome these challenges.

Speakers: Yijun Cao, Data Platform Engineer, Salesforce; Dakota Kelley, Solution Architect, phData

Register for Coalesce at https://coalesce.getdbt.com

Better CI for better data quality - Coalesce 2023

Continuous Integration (CI) in dbt Cloud makes it easy to test every change you make prior to deploying. It’s a hallmark of mature analytics workflows. We’ve made some major improvements to dbt Cloud CI, so it’s easier than ever to prevent breaking changes, save on costs, and keep those pesky stakeholders happy.

Join the dbt Labs product team on this magical journey to a world of better data quality, and see for yourself what CI can do for you.

Speaker: Grace Goheen, Product Manager, dbt Labs

Register for Coalesce at https://coalesce.getdbt.com

Lazy devs unite! Building a data ecosystem that spoils data engineers - Coalesce 2023

Join Ryan Dolley and Jan Soubusta for a journey into the world of end-to-end analytics pipelines and how they can be a data engineer's best friend.

Learn how to automate boring tasks and create a safe haven for data engineers using the dynamic duo: dbt for transformative magic and GoodData for analytics awesomeness.

Combined with an data extraction and orchestration tools, you form the Voltron of easy to automate end-to-end analytics flows bringing data from source systems all the way through BI and to your end users.

And don't miss the grand finale where they reveal an alternative deployment on dbt Cloud that's so easy to orchestrate your coffee mug could do it. Prepare to laugh, learn, and level up your data game!

Speakers: Ryan Dolley, VP of Product Strategy, GoodData; Jan Soubusta, Distinguished Software Engineer, GoodData

Register for Coalesce at https://coalesce.getdbt.com

Using data pipeline contract to prevent breakage in analytics reporting - Coalesce 2023

It’s 2023, why are software engineers still breaking analytics reporting? We’ve all been there, being alerted by an analyst or C-level stakeholders, saying “this report is broken”, only to spend hours determining that an engineer deleted a column on the source database that is now breaking your pipeline and reporting.

At Xometry, the data engineering team wanted to fix this problem at its root and give the engineering teams a clear and repeatable process that allowed them to be the owners of their own database data. Xometry named the process DPICT (data pipeline contract) and built several internal tools that integrated seamlessly with their developer’s microservice toolsets.

Their software engineers mostly build their database microservices using Postgres, and bring in the data using Fivetran. Using that as the baseline, the team created a set of tools that would allow the engineers to quickly build the staging layer of their database in the data warehouse (Snowflake), but also alert them of the consequences of removing a table or column in downstream reporting.

In this talk, Jisan shares the nuts and bolts of the designed solution and process that allowed the team to onboard 13 different microservices seamlessly, working with multiple domains and dozens of developers. The process also helped software engineers to own their own data and realize their impact. The team has saved hundreds hours of data engineering time and resources not having to chase down what changed upstream to break data. Overall, this process has helped to bring transparency to the whole data ecosystem.

Speaker: Jisan Zaman, Data Engineering Manager, Xometry

Register for Coalesce at https://coalesce.getdbt.com

No compromises: Analytics engineering on the Lakehouse - Coalesce 2023

The Lakehouse architecture unites the structured world of analytics with the rapidly evolving world of AI.

But what really makes something a “Lakehouse” and why should you care? In this session, Databricks discusses the key components of a lakehouse, what you should look for when adapting this paradigm and how Databricks and dbt are together enabling analytics engineers, analysts and data scientists to collaborate together on a single unified platform. You’ll hear from a customer about how they leveraged dbt Cloud on Databricks to deliver powerful customer experiences quickly and efficiently. Ken Wong shares the latest capabilities of Databricks platform and provides a sneak peek of upcoming features.

Speakers: Ken Wong, Senior Director of Product Management, Databricks; Samuel Garfield, Analytics Engineer, Retool

Register for Coalesce at https://coalesce.getdbt.com

Leveraging dbt Cloud to transform loan warehousing - Coalesce 2023

Learn how dv01 uses dbt Cloud and BigQuery to create a scalable and modern data pipeline for offerings in loan warehousing analytics. These products serve an esoteric niche of finance and are run by a team of financial analysts with deep industry expertise.

With the challenge of tracking the performance of millions of loans from various sources and file structures, the team initially relied on Excel-based workflows. However, as the client base grew, they needed a reliable solution: a scalable data pipeline with dbt Cloud and BigQuery that allows the team to scale into a growing market and provide innovative new products and services.

Explore the transformative power of dbt Cloud in modernizing unscalable data processes, fostering skill development, and driving success in the specialized world of loan warehousing finance.

Speaker: David Maguire, Data Engineer, dv01

Register for Coalesce at https://coalesce.getdbt.com

New Girl, but Jess is a chatbot: AI joins the data team's loft - Coalesce 2023

A data team looks to grow by 33% by making their biggest hire to date: an AI Powered Chatbot. The biggest problem for this two person team: they don’t know where to start.

Join Airbyte on the journey from first Google search through procurement to implementation as they try to figure out if they can make an AI chatbot work for answering all of our companies questions.

They're (most likely) just like you: they know that they needed to do something with AI but weren't sure where or how to start. In this presentation, the Airbyte team talks through the process of trying to figure out how to use AI to make their team more efficient and have a wider reach in a rapidly growing, fully remote organization.

Speaker: Alex Gronemeyer, Lead Analytics Engineer, Airbyte

Register for Coalesce at https://coalesce.getdbt.com

Learnings and practices for dbt at scale - Coalesce 2023

In this session, learn how Prime Therapeutics' data team was able to implement dbt for multiple teams and environments in a highly-controlled way without compromising security or performance. With multiple teams and environments, it was essential to manage and maintain consistent policies across environments while helping share best practices to improve their dbt implementations.

Speakers: Jill Aakhus, Principal Analytics Engineer, Prime Therapeutics; Anubhav Pareek, Data Analytics Engineer, AICG

Register for Coalesce at https://coalesce.getdbt.com

Need for speed (and less spending): The story of finance data at Snowflake - Coalesce 2023

Take a look at how the finance data team at Snowflake leverages dbt to drive strategic decision-making within the finance and accounting organizations. This talk spans topics including development velocity, cost governance, and data stewardship.

Speakers: Sandra Herchen, Analytics Engineering Manager, Snowflake; Jack Peele, Business Intelligence Analyst, Snowflake

Register for Coalesce at https://coalesce.getdbt.com

Unlocking model governance and multi-project deployments with dbt-meshify - Coalesce 2023

Join us for story hour, as we follow two intrepid analytics engineers working in a large dbt project as they go on a journey to meshify their dbt project, with help from a ✨special guest✨

Along the way, learn about dbt-meshify - a new CLI tool to automate the creation of model governance and cross-project lineage features in your dbt project. dbt-meshify refactors your code for you, helping you add model contracts, versions, groups, access, cross-project lineage, and more -- all in a matter of minutes! No bespoke YAML writing needed.

Speakers: Grace Goheen, Product Manager, dbt Labs; Nicholas Yager, Principal Analytics Engineer, HubSpot; Dave Connors, DX, dbt Labs

Register for Coalesce at https://coalesce.getdbt.com

A skeptic's guide to marketing analytics - Coalesce 2023

No one believes the marketing attribution model. Companies want clarity about how to attract and land high value customers. It’s easy to get lost trying to build an attribution model that reflects reality without lying or oversimplification. What if there was a better way? This session helps any analyst, analytics engineer, or marketing professional that has ever had to grapple with attribution or conversion analytics.

Speaker: Amanda Fioritto, Analytics Engineer, Hex

Register for Coalesce at https://coalesce.getdbt.com

Enabling a complete campaign 360 with dbt Cloud - Coalesce 2023

In the dbt Labs on dbt series, you get a behind-the-scenes look at how dbt Labs uses data. You’ll learn how dbt Labs thinks about the role of data, how data developers collaborate with business leaders, and the technical decisions we’ve made in our own dbt project.

In this session, Brandon Thomson, Analytics Lead at dbt Labs, digs deeper into the technical details of the Campaign 360, a powerful marketing analytics asset used by every member of the marketing team. You'll learn about the technical decisions made during the build of this product and explore the finished asset.

Join this session to learn about dbt Labs' journey and leave with ideas that you can implement in your dbt project today.

Speaker: Brandon Thomson, Analytics Lead, dbt Labs

Register for Coalesce at https://coalesce.getdbt.com