We are giving best offers for new students 25% discount this month
In todayβs data-driven world, businesses rely on Data Analysts to extract meaningful insights from large datasets. This course equips you with the skills to collect, analyze, and interpret data using powerful tools like Tableau, Power BI, and D3.js, along with statistical programming languages like R and Python.
Learn how to make data-driven decisions, build interactive dashboards, and apply machine learning techniques for predictive analysis.
β Beginners & students looking to enter the data analytics field
β Business professionals wanting to leverage data for decision-making
β Software developers & IT professionals transitioning to data analytics
β Entrepreneurs & marketers interested in data-driven strategies
π Data Visualization β Create interactive reports & dashboards with Tableau, Power BI, and D3.js
π Statistical Analysis β Understand probability, hypothesis testing, and regression analysis
π Data Mining β Extract insights from structured & unstructured data
π Machine Learning β Apply algorithms for predictive modeling
π R & Python Programming β Analyze and manipulate datasets
π Business Intelligence (BI) β Convert raw data into actionable business strategies
→ Role of a Data Analyst in business decision-making
→ Understanding data types, sources, and structures
Introduction to Excel for data analysis
→ Data cleaning and transformation techniques
→ Handling missing data and outliers
→ Working with large datasets using Pandas & NumPy
→ Creating dynamic dashboards with Tableau & Power BI
→ Data storytelling with D3.js
→ Best practices for effective visual representation
→ Descriptive & inferential statistics
→ Regression, clustering, and classification models
→ Applying machine learning for trend prediction
→ Performing customer behavior analysis
→ Sales forecasting using machine learning
→ Creating an interactive BI dashboard