Propel Your Data Career
Published by Pearson
Gain the right skills for today’s in-demand data roles
- Get the latest updates on required skills, tools, and responsibilities of various roles in the modern data ecosystem.
- Identify your next steps or goals in your data journey, with clear guidance on career progression for both technical and commercial verticals.
- Learn about the latest tools and frameworks to help you decide where you should invest your valuable resources of time and energy.
The data ecosystem is rapidly changing, and access to the latest information is highly beneficial for new and existing practitioners. This intelligence helps shape new ideas into goals and career aspirations for data professionals in their current and future roles.
This class provides a tour of the modern data landscape. With a focus on the latest understanding of different roles and responsibilities, you learn what it takes to succeed as a data professional in organizations large and small in many domains.
What you’ll learn and how you can apply it
- How to navigate the rapidly changing ecosystem of data roles
- Which roles are in demand and highly sought after for organizations of varying levels of maturity
- How to best communicate your proficiency in core skills for different roles during portfolio preparation and interview phases for your job search
And you’ll be able to:
- Understand the differences between data analyst, data scientist, data engineer, and ML/AI engineer and researcher roles.
- Articulate core responsibilities and skills for each data role to help you identify gaps and opportunities in your current experience levels for career progression.
- Assess the technical maturity and subsequent priorities and needs of a prospective employer to assist you in interview performance and portfolio preparation.
This live event is for you because...
- You are an analyst who wants to shift your career focus to machine learning and data engineering.
- You are an aspiring data professional who needs guidance on the different roles available on the market and how best to prepare for your job search.
- You are a data professional who wants to identify gaps in your current skillset and round out your skills to improve future career opportunities.
Prerequisites
- Basic awareness of common tools used for data analysis, including Excel, SQL, and Python/R, among many others
- Some exposure to the data industry
- Basic understanding of cloud computing
Recommended Follow-up
- Practice SQL Simplified Labs by Danny Ma
- Read Fundamentals of Data Engineering by Joe Reis and Matthew Housley (book)
- Practice Python Labs (TBC)
Schedule
The time frames are only estimates and may vary according to how the class is progressing.
Segment 1: The Modern Data Ecosystem (45 minutes)
- Data Roles Overview
- Key Differentiators
- Growth Areas
- Break (15 minutes)
Segment 2: Assessing Data Maturity (45 minutes)
- Data Engineering Tech Stack
- Embedded Analytics
- Machine Learning Ops
- Q&A
- Break (15 minutes)
Segment 3: Data Career Next Steps (45 minutes)
- Standards and Levels
- Roles and Responsibilities
- Commercial Acumen
Segment 4: Taking Action (45 minutes)
- Data Analyst Roadmap
- Data Engineer Roadmap
- Data Scientist/ML Engineer Roadmap
- Q&A
Course Wrap-up and Next Steps (15 minutes)
Your Instructor
Danny Ma
Danny Ma is a data consultant and educator based in Sydney, Australia. He has more than 10 years of experience in the data industry, and more than 3,000 students have joined the Data With Danny platform since its launch in 2020.
He is currently a principal AI engineer at LUMOS, an Australian IoT Ad-Tech startup that is modernizing the age-old advertising industry with real-time data analytics and machine learning.
Danny is a LinkedIn Top Voice in Tech and regularly writes about tech and data and shares his experience working on challenging client problems. He plans on sharing more technical tutorials on his YouTube channel and expanding to other social media platforms.