Practical, project-driven, and designed to make you job-ready. At DICS we blend statistical thinking, hands-on tools and real datasets so learners move from confusion to clarity: analysing trends, drawing insights and telling data-driven stories that businesses value.
Course Overview
Course Structure
Entry Requirement
Benefits
Careers
Course Overview
What is Data Analytics?
Data analytics is the process of inspecting, cleaning, transforming and modelling data to discover useful information, inform conclusions and support decision-making. Modern data analytics combines statistics, visualization, database skills and domain knowledge — and is used across industries from finance to healthcare.
Course Structure
What Will You Learn ?
Our Data Analytics curriculum focuses on practical skills and portfolio-building projects:
Introduction to Data & Statistics — descriptive statistics, probability basics, distributions, hypothesis testing and interpretation.
Data Wrangling & Preprocessing — data collection, cleaning, handling missing values, feature engineering and data quality checks.
Spreadsheet Mastery (Excel / Advanced Sheets) — pivot tables, advanced formulas, data validation, conditional logic and basic dashboarding.
Database Essentials & SQL— relational concepts, querying with SQL, joins, aggregations and performance-aware queries.
Programming for Data Analytics— Python or R fundamentals, data structures, libraries (pandas, numpy / tidyverse), scripting and reproducible workflows.
Social Media & Community Growth — scheduling, sentiment analysis and influencer identification using AI.
Data Visualization — principles of visual design, matplotlib/seaborn or ggplot, interactive dashboards (Power BI / Tableau basics).
Exploratory Data Analysis (EDA) — pattern detection, outlier handling, correlation, segmentation and storytelling with plots.
Introductory Machine Learning — supervised vs unsupervised methods, regression, classification, clustering and model evaluation metrics.
Business Analytics & Case Studies — translating business questions into analytics tasks, KPI design and real-world case projects.
Capstone Project— end-to-end project using real datasets, presentation, code repository and executive summary for portfolios.
Entry Requirement
Who should enroll?
This course suits beginners with basic computer familiarity, graduates aiming for analytics careers, working professionals seeking upskilling, and domain experts (marketing, HR, operations) who want to make data-driven decisions. No prior programming experience is required — we teach from fundamentals to applied techniques.
Benefits
Benefits of Data Analytics
- Hands-on, portfolio-focused training so you can show real work to employers.
- Career support — resume feedback, mock interviews and placement guidance.
- Short, practical timeline — get job-ready faster than long academic routes
Careers
Career options after Data Analytics Course
Data analytics skills open doors in:
- Business Analyst / Reporting Analyst
- Data Analyst / Junior Data Scientist
- Marketing Analyst / Growth Analyst
- Paid Media Analyst / PPC Specialist
- Digital Marketing Assistant (with additional training)
- BI Developer / Dashboard Specialist
- Operations Analyst / Process Analyst
- Freelance analytics consultant for SMEs
Industries hiring analytics talent include finance, e-commerce, healthcare, manufacturing, consulting, government and early-stage startups.
Average Salary (approximate & realistic)
Salaries vary by experience and company size. Typical Delhi NCR ranges:
- Entry-level / Freshers: ₹2.5 lakh – ₹4.0 lakh per annum.
- With 1–3 years’ experience: ₹4.0 lakh – ₹7.0 lakh per annum.
- Specialised roles (ML, BI lead, analytics with domain expertise): ₹7.0 lakh – ₹12.0+ lakh per annum.
Note: Continuous learning, strong projects and domain knowledge significantly boost employability and pay.
FAQ's
No. We start with beginner-friendly programming lessons and focus on practical use-cases.
Options range from intensive 3-month bootcamps to 6–9 month comprehensive tracks depending on depth and placement support.
Yes — DICS provides placement guidance, interview preparation and connects learners with hiring partners when possible.
Attend FREE Counseling
Why Choose Us ?
- Experienced, industry-aware trainers
- Small, hands-on batches and lab sessions
- Real-world project assignments and portfolio guidance
- Placement or internship support and career mentoring
- Regular assessments and flexible learning schedules
Want to transform data into decisions? Enroll in the Best Data Analytics Course at DICS — build a strong portfolio, learn industry tools and start applying for analytics roles with confidence. Call us at 9313044014 or visit 1 Hudson Lane, GTB Nagar, Delhi – 110009.