Data Analytics

"Master the Art of Turning Raw Data into Actionable Business Intelligence"

Gain hands-on expertise in SQL, Python, and PowerBI through our university-affiliated curriculum. Transition into a high-demand career by learning to decode complex datasets and drive data-driven decisions for global industries.

Rated 5 out of 5

Descriptions

Data Analytics is the study of collecting, cleaning, analysing, and interpreting data to support informed decision-making. This course introduces students to core analytical concepts, statistical thinking, and modern tools used to transform raw data into meaningful insights across industries such as business, healthcare, finance, and technology.

Data Analytics: Key Highlights

Master Industry Tools: Gain hands-on expertise in SQL, Python, PowerBI, and Tableau for comprehensive data management.
Real-World Projects: Build a professional portfolio by working on live datasets and industry-relevant capstone projects.
Data Storytelling: Learn to transform complex numbers into compelling visual narratives that drive business decisions.

University-Backed Credentials: Graduate with university-affiliated certifications that are recognized by global employers.
End-to-End Analytics: Cover the entire lifecycle from data cleaning and mining to advanced predictive modeling.
Career-Ready Support: Benefit from expert mentorship and placement assistance through our 1,000+ hiring partners.

Data Analytics Course Lessons (4 – 6 Months Duration)

Unit I: Introduction to Data Analytics

Definition and importance of Data Analytics
Types of analytics: Descriptive, Diagnostic, Predictive, Prescriptive
Data Analytics life cycle

Applications of data analytics in various industries

Unit II: Data Collection and Data Preparation

Types of data: Structured, Semi-structured, Unstructured
Data sources and data gathering techniques
Data quality issues
Data cleaning and data preprocessing

Handling missing values and outliers

Unit III: Statistical Foundations

Measures of central tendency (Mean, Median, Mode)
Measures of dispersion (Range, Variance, Standard Deviation)
Probability concepts
Correlation and regression analysis

Data distributions

Unit IV: Tools for Data Analytics

Microsoft Excel / Google Sheets for data analysis
Introduction to SQL and database concepts
Basics of Python for data analytics
- NumPy
- Pandas

Data manipulation

Unit V: Exploratory Data Analysis (EDA)

Data summarization techniques
Identifying patterns and trends
Data transformation
Outlier detection
Feature understanding

Unit VI: Data Visualization

Principles of data visualization
Charts, graphs, and dashboards
Tools: Tableau / Power BI (introductory)

Unit VII: Introduction to Predictive Analytics

Basics of predictive modeling
Simple linear regression
Classification concepts (introductory)

Unit VIII: Case Studies and Project

Industry-based case studies
Working with real-world datasets
Mini project / capstone project
Project presentation and documentation

Instructor

This course includes:

Recommended Tools

MS Excel / Google Sheets
Python (Anaconda / Jupyter Notebook)
SQL (MySQL / SQLite)
Tableau / Power BI

Assessment Pattern

Internal assessments / assignments
Practical lab work
End-term examination
Project evaluation

Salary Expectations in Data Analytics (India)

Entry-Level / Freshers (0–2 Years)

Annual Salary: ~₹3 Lakh – ₹6 Lakh per year (approx)
Typical monthly range: ₹25,000 – ₹50,000
Salaries depend on company size, location (larger cities often pay more), and skills like Excel, SQL, and Power BI.

Career Outcomes

Data Analyst
Business Analyst
Reporting Analyst
Junior Data Scientist

Industry & Application

IT & Software
Finance
Healthcare
Marketing
E-commerce
Education

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."