Industry Ceritified Data Analyst Course
✨ Course Description
Data Analytics is all about turning raw data into powerful insights. By using tools, statistics, and visualization techniques, DA helps businesses solve problems, forecast trends, and make smart decisions.
🌐 Course Overview
In today’s digital world, data is the new oil—and Data Analytics is the refinery.
From collecting and cleaning data to analyzing, modeling, and visualizing, DA empowers professionals to transform information into strateg
✅ Data Preparation & Cleaning
✅ Exploratory Data Analysis (EDA)
✅ Predictive Modeling & Forecasting
✅ Business Intelligence & Visualization
Build Your Programming Foundation .Secure Your IT Career
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Engineer
- AI/ML Researcher
- Big Data Specialist
- Quantitative Analyst (FinTech/Banking)
💰Course Fee : INR 14999/- ( Limited Time Offer : Flat 20% OFF for first 30 enrolments → 🔥INR 11,999/- Only)
iSignal Academy Benefits
- 🔹 Hands-on Projects & Real-time Assignments
- 🔹 Affordable Fees with Flexible Learning Modes
- 🔹 Expert Trainers & Industry Veterans
- 🔹 Placement Assistance & Interview Preparation
📌Course Detailed Content
Module 1: Introduction to Data Analytics
- What is Data Analytics?
- Roles & Responsibilities of a Data Analyst
- Data Analyst vs. Data Scientist vs. Data Engineer
- Data-driven decision making in industries
Module 2: Excel & Advanced Excel for Data Analysis
- Data Cleaning & Formatting
- Formulas, Functions & Conditional Logic
- Dashboards & Reporting in Excel
- Pivot Tables, Pivot Charts
- Advanced tools: Power Query & Power Pivot
Module 3: SQL for Data Analytics
Introduction to database & RDMS
- Basic SQL Commands (SELECT, WHERE, ORDER BY, GROUP BY)
- Joins, Subqueries, Views, and Stored Procedures
- Window Functions & CTEs
- Real-world database querying projects
Module 4: Data Visualization & BI Tools
- Principles of Data Visualization
- Creating Storytelling Dashboards
- Connecting BI tools with real datasets
- Case Study: Business Insights Dashboard
Module 5: Python for Data Analytics
- Python Basics (Variables, Data Types, Loops, Functions)
- Data Manipulation with Pandas & NumPy
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA) with Matplotlib & Seaborn
- Handling Missing Values, Outliers, and Duplicates
Module 6: Statistics & Probability for Data Analytics
- Descriptive & Inferential Statistics
- Probability Distributions
- Hypothesis Testing (T-test, ANOVA, Chi-square)
- Correlation & Regression Analysis
- Real-life application in business problems
Module 7: Data Wrangling & Preprocessing
- Data Collection & Extraction from APIs/Databases
- Handling Structured & Unstructured Data
- Feature Engineering for better insights
- Normalization, Standardization & Data Transformation
Module 8: Introduction to Machine Learning for Analyst
- Supervised vs. Unsupervised Learning
- Regression, Classification, and Clustering basics
- Model evaluation (Accuracy, Precision, Recall, F1-Score)
- Real-world predictive analytics project
Module 9 : Capstone Project & Career Preparation
- Industry-level projects (Finance, Healthcare, Retail, Telecom)
- Building Interactive Dashboards & Reports
- Resume Building & Portfolio Preparation
- Mock Interviews & Case Study Presentations
Why Choose Our Data Analyst Course?
✅ High-Demand Career – Every industry needs skilled Data Analysts to make smarter decisions.
✅ Hands-on Learning – Work on real-world datasets, live projects, and dashboards.
✅ Industry-Relevant Tools – Gain mastery in Excel, SQL, Python, Tableau/Power BI.
✅ Career-Focused Training – Includes resume workshops, interview prep & job referrals.
✅ Global Recognition – Data Analyst skills are universally in-demand across domains.
✅ Future Growth – Foundation for Data Science, AI & Machine Learning careers.
Career Benefits & Opportunities
💼 Roles you can apply for:
🎯 1. Data Analyst – Interpret data, create reports & help businesses make decisions.
🎯 2. Business Analyst – Bridge the gap between IT & business with data-driven strategies.
🎯 3. Data Scientist – Use advanced analytics, machine learning & AI to predict outcomes.
🎯 4. BI (Business Intelligence) Developer – Design dashboards & reporting systems.
🎯 5. Data Engineer – Build & maintain data pipelines for large-scale systems.
🎯 6. Quantitative Analyst – Analyze financial data & risk for banks & investment firms.
🎯 7. Marketing Analyst – Study consumer behavior & optimize marketing campaigns.
🎯 8. Operations Analyst – Improve efficiency in supply chain & business processes.
💼 Industries Hiring: IT, Finance, Healthcare, Retail, Telecom, E-commerce & more.
🔹 Average salary packages
- 🟢 Freshers (0–1 yrs): ₹3.5 – 5.5 LPA
- 🟢 Early Career (1–4 yrs): ₹6 – 10 LPA
- 🟢 Mid Career (5–8 yrs): ₹10 – 15 LPA
- 🟢 Senior / Lead (8+ yrs): ₹15 – 20+ LPA
- ⭐ Overall Average: ₹6 – 8 LPA
🚀 Course Highlights
- Duration: 6 Month (Instructor-led)
- Mode: Online or Offline(Classroom)
- Language: English
- Live Projects: 3 real-time projects
- Certification: Industry Recognized
- Career Support: Placement guidance + Interview preparation
- placement Assistance upto 1 year
📲 Get a FREE Demo Session on Data Analytics – Just send “Hi” on WhatsApp 👉 7829450444