Data Science
"Harness the Power of AI and Machine Learning to Build the Future of Tech"
Go beyond analytics and learn to build predictive models that solve complex global challenges. Our Data Science program covers Advanced Python, Machine Learning algorithms, and Deep Learning, equipping you with the expertise to lead in the age of Artificial Intelligence.
★★★★★ Rated 5 out of 5
- 4.500 students
- Last updated 25/7/2023
Course Overview
Data Science is an interdisciplinary field that combines mathematics, statistics, programming, machine learning, and domain knowledge to extract meaningful insights from data. The course trains students to analyze large datasets, build predictive models, and support data-driven decision-making across industries.
Course Objectives
By the end of the course, learners will be able to:
- Understand the fundamentals of data science and its applications
- Analyse and interpret structured and unstructured data
- Apply statistical and machine learning techniques
- Use programming tools for data analysis and modelling
- Build, evaluate, and deploy data-driven solutions
- Communicate insights through visualization and reports
Data Science Course Lessons (6 - 9 Months Duration)
- Definition and scope of Data Science
- Data Science lifecycle
- Roles of a Data Scientist.
- Applications in business, healthcare, finance, AI, etc.
- Linear algebra basics
- Probability concepts
- Descriptive and inferential statistics
- Hypothesis testing
- Correlation and regression
- Python fundamentals
- Data structures and functions
- Libraries: NumPy, Pandas
- Data manipulation and preprocessing
- Types of data
- Data sources and formats
- Data cleaning techniques
- Handling missing values and outliers
- Feature engineering
- Data summarization
- Pattern and trend analysis
- Data transformation
- Outlier detection
- Principles of visualization
- Charts, plots, and dashboards
- Tools: Matplotlib, Seaborn, Tableau / Power BI
- Data storytelling
- Supervised vs Unsupervised learning
- Linear & logistic regression
- Classification algorithms
- Clustering techniques
- Model evaluation and validation
- Neural networks basics
- Deep learning concepts
- Overview of TensorFlow / PyTorch
- Real-world use cases
- Big data concepts
- Hadoop & Spark basics
- Cloud platforms overview (AWS / Azure / GCP)
- Ethical use of data
- Data security basics
- Privacy laws and regulations
- Industry-based case studies
- Working with real datasets
- Capstone project
- Project presentation and documentation
Instructor
Joshua Hamilton
Data Science Expert
This course includes:
- 62 hours on-demand video
- Full lifetime access
- Access on mobile and TV
- Free Webinar
- Certificate of completion
Teaching Methodology
- Lectures and demonstrations
- Hands-on lab sessions
- Assignments and quizzes
- Case studies
- Project-based learning
Course Duration
- Certificate course: 6–9 months
- Diploma course: 9–12 months
- Degree specialization: 2–3 years (UG/PG)
Eligibility
- Strong foundation in mathematics
- Basic programming knowledge preferred
- Logical thinking and problem-solving skills
Tools & Technologies
- Python (NumPy, Pandas, Scikit-learn)
- SQL
- Jupyter Notebook
- Tableau / Power BI
- TensorFlow / PyTorch (introductory)
Career Opportunities
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Analyst
- AI Engineer
- Research Analyst
Salary Expectations in Data Science (India)
- Entry Level: ₹5 – ₹8 LPA
- Mid Level: ₹10 – ₹18 LPA
- Senior Level: ₹20 LPA and above
Testimonial
What alumni say about us
A Career Transformation : "Coming from a non-tech background, I was nervous about the Bootcamp. However, the mentors at STA made the transition seamless. Today, I am a Senior Developer at a top firm, and I owe it all to their hands-on training and career support."
Academic Depth & Industry Reach: "The university-affiliated courses at STA gave me the perfect mix of academic theory and practical application. The 'Higher Department of Education' ensured my degree was globally recognized, which helped me land my dream job in Europe."
Unmatched Job Support: "Most academies stop after the course ends, but STA’s lifelong career support is the real deal. They helped me refine my portfolio and connected me with one of their 1,000+ hiring partners just two weeks after I finished my certification."
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