Preparing to Get a Job in Data Analytics
1h 6mBeginner2023-02-16
Authors

Jess Ramos
Senior Data Analyst, Data Scientist, Team Leader
Course details
Thinking about a career in data analytics or looking to land a more senior-level role? This course offers a friendly guide to landing a job in this in-demand field. Jess Ramos, a senior data analyst, helps you gauge your initial interest, providing her honest take on what entry-level and senior-level data analytics jobs entail and the amount of work it takes to land such a role. Once you determine whether your interests are a match for this field, Jess goes over the tools and skills you’ll need to excel as a data analyst, as well as how to advertise those skills on LinkedIn, make important connections, and land interviews. And to ensure that you ace those interviews, Jess explains how to build a data analytics portfolio that’s tailored to your target role and industry.
Skills covered
Hiring and InterviewingTech Career SkillsJob SearchingCareer DevelopmentPersonaData AnalysisHuman ResourcesCybersecurityCloud ComputingData ScienceBusiness Analysis and StrategyBusiness Software and ToolsSoftware Development
Concepts
0. Introduction
- 01 - Data analytics - From initial interest to job interview
1. What Is Data Analytics
- 02 - What is data analytics
- 03 - What does a data analyst do
- 04 - What are the different types of data analytics
- 05 - Should you be a data analyst
- 06 - How much work does it take to be a data analyst
2. How to Upskill and Learn Data Analyst Skills
- 07 - Skills needed in data analysis
- 08 - How to learn statistics for data analytics
- 09 - How to learn basic data skills for data analytics
- 10 - How to learn Power BI and Tableau for data analytics
- 11 - How to learn SQL for data analytics
- 12 - How to learn programming in Python or R for data analytics
3. How to Network and Use LinkedIn for Data Analytics
- 13 - LinkedIn profile - First impressions
- 14 - LinkedIn profile - Skills, experience, and recommendations
- 15 - How to build a personal brand for data analytics
- 16 - How to maximize LinkedIn and network for data analytics
- 17 - How to get interviews for data analytics
4. How to Build a Portfolio for Data Analytics
- 18 - What is a data analytics portfolio
- 19 - How and where to build a portfolio
- 20 - How to pick projects related to the role and industry
- 21 - How to leverage a portfolio in interviews
Conclusion
- 22 - Start upskilling, networking, and building a portfolio
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