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Hand-picked resources: How to learn Data Analytics

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Lucas Salmins 🇬🇧

Data Engineer at Elliptic
5.0 (2)

Hi, I’m Lucas! I am passionate about teaching and helping people optimise their career progression or trajectory (career change!). This enthusiasm comes from my experience career changing (PM -> Eng), mentoring junior engineers and from 1:1 and group coaching sessions during my time working at the Genius Bar at the …
Engineering & Data Data Engineering Scala Spark Python SQL
$110 / month
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Elliot Stern 🇺🇸

Freelance Data Scientist and Data Science Instructor at Fiverr, Data Society
5.0 (6)

Elliot is a freelance Data Scientist with 7+ years of experience, including working with an Olympic team and creating an NBA salary model for Hazan Sports Management, an NBA sports agency. He co-founded a soccer computer vision company that secured $250,000 of funding. Elliot was a leader in creating computer …
Engineering & Data Data Science Neural Networks XGBoost Web Scraping Regression
$170 / month
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Daniel Johnson 🇬🇧

Founding Partner at We Scale Startups
5.0 (25)

As an experienced startup mentor and speaker 🎤, I help early-stage founders build scalable, sustainable growth engines. As a growth marketing expert 📈, I've spent the last 5+ years working with founders to develop strategic, data-driven approaches to customer acquisition and retention. I focus on maximizing return on investment across …
Product & Marketing Growth Growth Strategy Paid Ads SEO Facebook
$150 / month
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Mohannad Elhamod 🇺🇸

Clinical Assistant Profess | Machine Learning Researcher | ex-software engineer at Microsoft at Questrom School of Business @ Boston University
5.0 (6)

**Why can I help you? ** I had been a software engineer at Microsoft for 6+ years, a research intern at NASA, and completed my PhD in Computer Science at Virginia Tech in 2023. I am currently a clinical assistant professor at Questrom School of Business at Boston University, where …
Engineering & Data Data Analytics Machine Learning Deep Learning Python Software Engineering
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Türker Bilgin 🇬🇧

Brand Marketing Director at Unilever
5.0 (24)

Hi! I'm a global brand marketing director with 13 years experience, having led some of the most iconic brands in the world like Dove, Rexona (Sure/Degree) and Axe (Lynx)! I genuinely enjoy helping others grow their skillset, achieve both their professional and personal goals through mentoring and coaching. I have …
Product & Marketing Marketing Digital Marketing Leadership Branding Digital Marketing Strategy
$300 / month
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Matej Kukucka 🇸🇰

CMO & Co-Founder at StreamBee
5.0 (3)

Hi, my name is Matej Kukucka and currently, I am a Co-Founder and Chief Marketing Officer of StreamBee. It's a new startup that empowers the live streaming industry with smart analytics and various useful tools. Prior to running my own startup, I was operating as Head of Marketing at LiveAgent, …
Product & Marketing SEO Management SaaS Growth Hacking Data Analytics
$200 / month
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Daniele Marinelli 🇮🇹

Researcher at Fondazione Edmund Mach
5.0 (4)

Data scientist experienced (5+ years) in the prototyping and development of data processing and machine/deep learning algorithms with a focus on remote sensing data. Passionate about use of remote sensing data to gain a better understanding of the environment and to improve the management of natural resources and human activities. …
Engineering & Data Geospatial Data Machine Learning Statistics Coding Data Science
$220 / month
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Khrystyna Grynko 🇫🇷

Cloud Customer Engineer at Google
5.0 (9)

Hi, I'm a Cloud Customer Engineer (specialized in Data) at Google, (previously Head of Data at digital marketing agency Better&Stronger), a Guest Lecturer at several universities, a Conference Speaker, #IamRemarkable Facilitator, an author of the successful online course about marketing analytics in the cloud. Mentoring specialties: (tech) Let's talk about …
Engineering & Data Cloud For Marketing Data Analytics Data Visualization Career Change Career Development
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Best books to build Data Analytics understanding.

A well-written and thorough book can be an amazing path to build deeper understanding and also act as a handbook as you discover the internet's vast resources.

These are our and our experts top picks to get started building career-relevant skills.

R for Data Science

R for Data Science

This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science.

Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides.

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Data Engineering Cookbook

Data Engineering Cookbook

Five types of content are in this book: Articles the author wrote, links to his podcast episodes (video & audio), more than 200 links to helpful websites he like, data engineering interview questions and case studies.

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Courses to deepen your Data Analytics skills.

These days, courses are no longer a sequence of videos. They are usually accompanied by projects and a learning community, keeping you accountable and on the path.

Our experts recommend these courses, from free selections to paid programs.

Grow with Google: Data Analytics

Grow with Google: Data Analytics

The Data Analytics Certification, developed by Google, can help you navigate the tools and skills needed to become a data analyst. Complete online certificate courses, at your own pace and time.

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Introduction to Data Engineering

Introduction to Data Engineering

Learn about the world of data engineering with an overview of all its relevant topics and tools!

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Introduction to Data Analytics

Introduction to Data Analytics

Ready to start a career in Data Analysis but don’t know where to begin? This course presents you with a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers.

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