This course offers a friendly guide to landing a job in the in-demand field of data analytics, including how to upskill, maximize LinkedIn, and build a tailored portfolio.
Overview
Syllabus
Introduction
- Data analytics: From initial interest to job interview
- What is data analytics?
- What does a data analyst do?
- What are the different types of data analytics?
- Should you be a data analyst?
- How much work does it take to be a data analyst?
- Skills needed in data analysis
- How to learn statistics for data analytics
- How to learn basic data skills for data analytics
- How to learn Power BI and Tableau for data analytics
- How to learn SQL for data analytics
- How to learn programming in Python or R for data analytics
- LinkedIn profile: First impressions
- LinkedIn profile: Skills, experience, and recommendations
- How to build a personal brand for data analytics
- How to maximize LinkedIn and network for data analytics
- How to get interviews for data analytics
- What is a data analytics portfolio?
- How and where to build a portfolio
- How to pick projects related to the role and industry
- How to leverage a portfolio in interviews
- Start upskilling, networking, and building a portfolio
Taught by
Jess Ramos
