Data Science + AI with Internship
The complete data science journey, with proof. Master statistics, ML, deep learning, big data and visualization, then complete a 1–3 month internship analyzing real datasets at a partner company. Graduate with three deployed projects and a recommendation letter.
The complete data science journey, with proof. Master statistics, ML, deep learning, big data and visualization, then complete a 1–3 month internship analyzing real datasets at a partner company. Graduate with three deployed projects and a recommendation letter.
Syllabus
- Data Analysis & SQL
- ML & Model Selection
- Deep Learning
- Data Visualization
- Big Data Intro
- Storytelling with Data
- Internship Project
- Placement Prep
What you will learn
- Solve real business problems with data
- Build ML/DL models in production
- Tell data stories that drive decisions
- Demonstrate real industry experience
Tools you will use
- Python
- SQL
- Tableau
- Spark
- TensorFlow
- Power BI
Projects
- Real client analytics project
- Deployed dashboard at partner
- ML model in production
- Recommendation letter
Career paths
- Data Scientist
- Data Analyst
- AI Engineer
- BI Analyst
Who should join
- Graduates
- Analysts
- Tech professionals
Prerequisites
- Graduate or final-year student
- Commitment to attend full program
- Basic computer skills
Certificate
Course Completion Certificate + Internship Experience Letter from partner companies.
Syllabus
- Data Analysis & SQL
- ML & Model Selection
- Deep Learning
- Data Visualization
- Big Data Intro
- Storytelling with Data
- Internship Project
- Placement Prep
Learning outcomes
- Solve real business problems with data
- Build ML/DL models in production
- Tell data stories that drive decisions
- Demonstrate real industry experience
Tools
- Python
- SQL
- Tableau
- Spark
- TensorFlow
- Power BI
Projects
- Real client analytics project
- Deployed dashboard at partner
- ML model in production
- Recommendation letter
Career paths
- Data Scientist
- Data Analyst
- AI Engineer
- BI Analyst
Who should join
- Graduates
- Analysts
- Tech professionals
Prerequisites
- Graduate or final-year student
- Commitment to attend full program
- Basic computer skills
Frequently asked questions
How does the internship work?
You work on real data projects with industry mentors and present findings to stakeholders.
What roles can I apply for after finishing?
Common target roles are: Data Scientist; Data Analyst; AI Engineer; BI Analyst. Placement support covers resume building, mock interviews and referrals.
Which tools and technologies will I actually use?
You work hands-on with Python, SQL, Tableau, Spark, TensorFlow and Power BI throughout the course, rather than only studying them in theory.