Learn Data Science in 6 months

[Pre-work for those without experience in Python]

• Get introduced to Python key concepts and libraries - Pandas.
• Explore conditional programming through Python functions like, ‘if’, ‘loops’, ‘in’ and ‘not’.
• Automate repetitive tasks and create a data transformation pipeline by learning how to loop using dictionaries elements.
• Learn how to use object-oriented-programming with classes, objects, attributes, methods and inheritance.

• Explore your first datasets using Pandas, the de facto Python library for data manipulation. 

• Clean, wrangle and curate multiple data sets in a fast and efficient way. 

• Characterize your dataset with descriptive statistics and uncover trends and relationships.

• Use probabilities and statistics to answer questions and test hypotheses to help make informed decisions.

• Understand Machine Learning use cases by first solving classification & regression problems.

• Build, train and evaluate your first ML models and be aware of overfitting and underfitting. 

• Use distance-based algorithms to solve classification problems and unsupervised tasks.

• Develop Machine Learning models, and compare them.

• Make a time series analysis and predict the future through forecasting models.

• Learn how to build a compelling narrative to share your insights to stakeholders.

• Build your first dashboards using Dash and set up automatic reporting emails to stakeholders.  

• Act as the AI team of a start-up: your model will dictate if the business thrives or fails. Deploy your first model to the cloud.

• Build the automation tools to monitor how the model is performing and communicate insights.

• Update your Resume with all your learnings throughout the course

• Position yourself as a Data Scientist by optimizing your Linkedin profile and showcasing your program credentials and projects 

• Distinguish yourself with an online project portfolio with all the relevant challenges of the program

• Prepare for technical interview processes and nail down your pitch

Yes. All the programs are online. Every live session is remote and you are supposed to collaborate, work and engage in each session.

For the Data Science course, you need to commit around 10 hours per week during 6 months.

Part-time programs are designed for full-time workers and the live sessions (two per week) will be running after hours, starting at 7pm. All the work to complete the challenges should be completed outside the live sessions, at your pace and on your own schedule.

In the Data Scientist Course you will be able to learn full cycle of Data Analysis based on Python, from data gathering and wrangling to machine learning, dashboarding and model deployment. 

The course was designed to make you learn how to work as a Data Scientist in a real-world setting:

1. You will learn by doing. It is proven that people learn better when addressing real problems, relevant and related to their environment.
2. We promote a lot of interaction between peers, collaboration is a key requirement. People learn better when they do it with peers and the community.
3. You will develop behavioral skills, critical for work environments today. Teamwork, communication and feedback, but also the ones that make you successful as a professional or entrepreneur, like creativity, self-learning and discipline.

These principles are fully embedded in our program, we believe they are fundamental for your success and your future.

Every participant will get a Miles Certificate of completion with all the skills obtained.

Yes. This is the perfect match for you. You should know the basics of working with a computer but that’s it. The content is adjusted to all levels to make you succeed and upgrade your digital skills.