Three of the top skills for data analysts are:
Democratize: transform raw data into relevant information, and present and interpret the data to answer a business question. An example may include a dashboard with graphs and KPIs to manage and measure an activity.
Automate: automate recurring tasks such as data cleansing and collection. Process a large volume of data in an automated fashion. An example may include writing a Python script for data processing that is connected to a SQL database.
Modeling: simplify data to retain the most important and relevant data, infer trends and projections, potentially use machine learning.
Which is why at the end of this 5-month data analysis course you will be able to:
Process data: using Python algorithms and object-oriented programming.
Collect data: perform a SQL database query, automate content collection using HTML scraping, understand RGPD issues, perform geocoding.
Model and present data: gain an understanding of data science, machine learning, and Big Data platforms, learn how to create dynamic data visualizations and manipulate them, create visualizations and dashboards with Tableau, Folium and PowerBI.
Improve your professional resume and portfolio, join our community of data analysts and alumni, improve your online presence, prepare for job interviews and job opportunities...