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Download our Data Analytics course syllabus
If you're an Indonesian citizen, receive a USD 1,000 discount on the total tuition fees. At Le Wagon Indonesia, we believe in making technology accessible to develop local talent who will grow the Indonesian tech ecosystem.
Join the next batch of our Data Analytics course to start your journey into tech!
Discover business KPIs and learn how to collect data from various sources to run common analyses (churn, funnel, CAC, AB test, time to convert, etc..)
Learn to extract data using APIs, automation tools or product tracking. Transform and load data on a warehouse building the right data layers and using advanced SQL.
Communicate your results clearly using the right visualisations and building automated dashboards with the most used BI tools.
Run analysis on big data sets using Python and Jupyter notebook. Learn the foundations of Machine Learning with Python to collaborate with data scientists or ML engineers.
In this Data Analytics course, you will learn the fundamentals you need to become a Data Analyst in just 9 weeks.
Our Data Analytics course is intense. To be prepared and make the most out of the bootcamp, you must complete a 40 hours preparation work to gives you basic tech foundations and culture.
What data is available? Where are they found? What KPIs do we want to follow? In this module, you will conduct in-depth analysis on business data and build automated dashboards with Google Sheets.
Learn all the techniques to centralize and transform your data in a data warehouse. Create effective dashboards and conduct in-depth analysis for business teams.
You're not going to spend all day updating your charts! Master ELT tools (Extract, Load, Transform), APIs or No-code / Low-code tools to extract data from different sources and centralize it. Also learn how to track the data of your web app by creating a tagging plan.
Learn how to build the clearest, most interactive charts and dashboards possible for your teams.Uncover insights from your data by adopting the right analysis methodology.
Learn how to manipulate large volumes of data and how to represent them. Master the basics of Machine Learning to predict results and perform complex analysis. Collaborate better with data science and engineering teams.
Perform an A-Z data analysis project with real data from our partners. Learn how to properly pose the problem, identify, extract, centralize and process your data. Conduct your analyzes and create automated dashboards that will bring value.
Meet tech experts working in startups and companies, prepare your CV and do mock interviews to prepare your job search.
Our Data Science course is very complete and intense. But don’t worry, if you don’t have the suggested requirements we will help you get there!
No technical prerequisites
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