Preparing to Get a Job in Data Analytics
Offered By: LinkedIn Learning
Course Description
Overview
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.
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
Related Courses
Business Metrics for Data-Driven CompaniesDuke University via Coursera Big Data: Data Visualisation
Queensland University of Technology via FutureLearn Creating Dashboards and Storytelling with Tableau
University of California, Davis via Coursera Explaining Your Data Using Tableau
University of California, Davis via Coursera Visual Analytics with Tableau
University of California, Davis via Coursera