Data Portfolio Accelerator

linamarieth.com

A Portfolio for Data that gets you noticed

Are you a woman looking to break into the world of data?

Building a strong data portfolio is crucial for career advancement, especially for those transitioning careers.

Let me guide you through the process.

I’ve created this intensive, 8 weeks course to help you build a standout data science portfolio that gets you noticed.

Women_data_Science

In just 8 weekly live sessions, we’ll work together to create a complete data science project from scratch. You will get my 10+ years of experience in data cleaning, analysis, visualization, and storytelling, equipping you with the skills to transform data into actionable insights.

Hi, I’m Lina Marieth, PhD

A Data Science & AI Career Strategist specializing in empowering women. With over a decade of experience in data science and data-related projects, I’ve led numerous women around the world to excel in their careers.

What is included in the Portfolio Accelerator:

  • A robust data project for your portfolio.
  • Hands-on experience with data manipulation and in-depth data analysis.
  • The ability to create compelling data visualizations that communicate clearly your findings.
  • Eight live hands-on workshops and personalized Q&As.
  • Effective Data Storytelling: Learn to communicate your conclusions clearly and persuasively through storytelling.
  • Discover the best platforms to showcase your knowledge and share your portfolio.
  • Access to an exclusive community of women like you transitioning careers to Data or AI.

This exclusive course has limited spots available to ensure personalized attention.

Beyond our live sessions, you’ll receive EXTRA valuable resources, including:

  • Gallery of effective visualizations for different data types
  • Quick reference guides for Python libraries: cheat sheets for the most common libraries.
  • Data cleaning scripts with examples of how to handle missing values, outliers, and inconsistencies.

To see the complete course outline -> Click here

Previously required knowledge

We will use some libraries and packages for data analysis and visualization; you must have at least some knowledge about them. Below are the basic knowledge requirements to get the most out of the Accelerator. Be sure that the Accelerator won’t be your first time using any of these tools:

Python/Pandas – Some knowledge and experience with Python and Pandas is required.

Data analysis and manipulation – We will analyze and extract information from data. Some previous experience with data analysis and manipulation is required.

Matplotlib – Some experience with this library will be necessary.

Can I see reviews from other women who’ve worked with you?

When does the Data Portfolio Accelerator Start?

🤩 The next DSPA session will be announced soon. Get on the DSPA VIP Waitlist now to get notified first 👇

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