Learn to analyze data, generate insights, and build dashboards using modern analytics tools.
When searching for the best Masterclass: Business Intelligence & Advanced Data Analytics Internship in Chennai, understanding the local IT ecosystem is critical. Chennai remains the SaaS capital of India and a dominant force in the global IT ecosystem. Beetalogic stands at the forefront of this revolution, bridging the talent gap for Masterclass: Business Intelligence & Advanced Data Analytics professionals.
The local job market around major technology centers like Tidel Park, SIPCOT IT Park, and Ramanujan IT City is hungrier than ever for highly skilled engineers. Our programs are reverse-engineered directly from the hiring requirements of firms such as TCS, Infosys, Wipro, and global MNCs.
Comprehensive Curriculum
1. Introduction to Data Analytics
- What is Data Analytics? Importance & Applications
- Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
- Role of a Data Analyst
- Data Analytics workflow
- Tools & Technologies: Excel, SQL, Python, R, Tableau, Power BI
2. Data Types & Data Collection
- Types of data: Structured, Semi-Structured, Unstructured
- Data sources: Databases, CSV, APIs, Web Scraping
- Data quality: accuracy, completeness, consistency
- Data collection methods & best practices
3. Excel for Data Analytics
- Basic functions: SUM, AVERAGE, COUNT, IF, VLOOKUP, HLOOKUP
- Data cleaning: Remove duplicates, Text to columns, Find & Replace
- Pivot Tables & Pivot Charts
- Conditional Formatting
- Data visualization in Excel: charts, graphs
4. SQL for Data Analytics
- Introduction to relational databases
- CRUD operations: SELECT, INSERT, UPDATE, DELETE
- Filtering & sorting data (WHERE, ORDER BY, LIMIT)
- Aggregation & grouping (GROUP BY, HAVING, COUNT, SUM, AVG)
- JOINs, Subqueries, Nested Queries
- Advanced SQL functions: Window functions, CASE statements
5. Data Cleaning & Preprocessing
- Handling missing values, duplicates, and outliers
- Data type conversions
- Data normalization & scaling
- Handling categorical data (Encoding)
- Best practices in data preprocessing
6. Data Visualization
- Principles of effective visualization
- Charts & graphs: Bar, Line, Pie, Histogram, Scatter plots
- Python libraries: Matplotlib, Seaborn
- Interactive visualization: Plotly
- Dashboards using Tableau / Power BI
7. Statistical Analysis
- Descriptive statistics: mean, median, mode, variance, standard deviation
- Data distribution & probability
- Inferential statistics: Hypothesis testing, Confidence intervals, t-tests, chi-square tests
- Correlation & regression analysis
- Analyzing trends & patterns
8. Python for Data Analytics
- Python basics: variables, loops, functions, data structures
- Pandas for data manipulation: DataFrames, indexing, filtering, grouping
- NumPy for numerical computations
- Data cleaning & preprocessing using Python
- Visualizations with Matplotlib and Seaborn
9. Advanced Analytics Techniques
- Predictive analytics basics
- Regression analysis & forecasting
- Classification analysis (Decision Tree, Logistic Regression)
- Clustering (K-Means, Hierarchical)
- Time series analysis basics
10. Business Intelligence (BI) Tools
- Introduction to BI tools: Tableau, Power BI
- Connecting to data sources
- Creating dashboards & reports
- Data storytelling & insights presentation
- Drill-down, filters, and interactive visuals
11. Big Data & Analytics
- Introduction to Big Data concepts
- Overview of Hadoop & Spark
- Working with large datasets
- Cloud-based analytics (AWS, Azure, Google Cloud)
One of the biggest advantages of choosing Beetalogic in Chennai is our deep-rooted corporate network. Our alumni are securing premium packages at top-tier product and service-based companies along the OMR IT corridor.
