GirlLEAD Talent Accelerator Women in Data Boot-camp (Fully funded)
Deadline: July 12, 2023
Datacamp is an online learning platform that helps learners build data skills including Python, R programming, and Business analysis, to non-coding essentials like spreadsheets, BI tools, and more advanced paths like data engineering, data science, and machine learning.
This partnership is pivotal towards GirlLEAD's mission of equipping 1,500 women and girls with solid skills in STEM, IT and business by 2025.
Through this partnership, GirlLEAD is offering a 1-year premium access to all courses, skill proficiency assessments, guided and self-paced projects, and data science competitions all on the Datacamp platform. There are a myriad of tracks to choose from including R Programming, Python Programming, SQL, Spreadsheets, Business Analytics, Data Analysis, Data Engineering, Data Science, Machine Learning, and more...
Usually, this program would cost $399 annually per person, but we are offering this program at no cost to you. Please be mindful that though some portions of the program are at no cost, your kind support through donations will help us maintain and expand our programs to better serve the African continent.
Why register for GirlLEAD Women in Data Boot-camp?
- Project-based learning- You will solve problems and build projects for your portfolio
- Full access to Datacamps courses, including unguided projects and competitions
- Career services including job readiness courses and CV revamp
- Globally recognized certifications and access to Datacamp's network of global students and faculty
- Integration into GirlLEAD fellowship network for lifelong learning, network and mentorship opportunities
Student Entry Requirements
- Women of African origin aged 16-40 years
- Laptop, Internet Acess and Data
- Availability to take the program
Program structure: Online self-paced study, 1-2 hours mandatory bi-weekly catch-ups, Weekly assignments, Discussion forums, and Group activities.
APPLY HERE
For more info about the program, click here
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