Get A Fulfilling (And
High-Paying) Career In Data Science Without Taking On Massive Debt Or Spending
4 Years In College.
ENTITY Academy is a leading educational institution providing world-class virtual training for women to develop the hard skills, soft skills, and professional networks they need to build successful careers in data science.
HERE'S YOUR CHANCE TO WORK FOR YOUR DREAM COMPANY
The Data Science Virtual Academy will provide you with the right career services to help you land a job in data science. Not only will you have completed an industry-relevant curriculum, but you will walk away with an improved personal resume, strong interview skills, and a robust portfolio with real-world applicable projects to showcase to potential employers.
Data is everywhere.
It’s collected by all kinds of organizations, from large enterprises to small businesses, and is used to personalize customer experiences, deliver relevant products, and even mitigate risk and fraud. Modern businesses are awash with data, making data analysts and scientists increasingly valuable to a team. This part-time virtual program can help you build a career where you can make a global impact and get rewarded for doing so.
NO EXPERIENCE NECESSARY.
Even if you're a complete beginner, our preferred provider, Woz U, can help you master the skills needed to land entry-level positions in data science. And to make sure you're ready to hit the ground running after graduation, ENTITY provides soft skills training and mentorship, which focuses on leadership development and connects you with a supportive professional community.
Come change the world with us!
Our 33-Week Curriculum Will Cover:
Data Wrangling and
Curriculum, instruction, and mentorship provided by:
The in-demand field of data science provides you with a wide array of career options such as: Data Analyst, Data Scientist, Data Engineer, Data Architect, Enterprise Architect, Applications Architect, Infrastructure Architect, Machine Learning Scientist, Business Intelligence (BI) Developer, Deep Learning Engineer, Quantitative Analyst, Statistician, and more.
What Are My Career Options As A
Basic & Intermediate Statistics
Extracting and Organizing Databases with SQL
Programming Foundations in Python
Machine Learning & Modeling Techniques
Metrics & Data Processing
Statistical Programming in R
Big Data Concepts with MapReduce & PySpark
Data Visualization with Jupyter Notebook & Tableau
Group Project Addressing a Real-World Problem of Your Choice
1-on-1 Career-Coaching Sessions with Mock Interviews
Building a Professional Resume and Portfolio to Present
to Potential Employers