Data Analytics Mastery: From Fundamentals to Advanced Insights
Unlock the power of data analytics with our comprehensive Data Analytics Mastery Course. Designed for beginners and professionals alike, this course covers essential data analysis techniques, data visualization, SQL, Python for data science, machine learning, and business intelligence. Gain hands-on experience with industry-standard tools like Excel, Power BI, Tableau, and Python to analyze big data, uncover insights, and drive data-driven decisions.
✅ Learn data cleaning, transformation, and visualization
✅ Master SQL queries and Python programming for data analytics
✅ Work with real-world datasets and case studies
✅ Develop predictive models and advanced machine learning algorithms
✅ Get hands-on experience with Power BI, Tableau, and Excel
✅ Earn a Data Analytics Certification to boost your career
This course is perfect for aspiring data analysts, business intelligence professionals, and anyone looking to upskill in data science.
Course Outline
Module 1: Introduction to Data Analytics
- What is Data Analytics & Why It Matters
- Career Opportunities in Data Analytics
Module 2: Essential Data Analytics Tools
- Excel for Data Analysis
- SQL for Data Querying
- Python for Data Science (Pandas, NumPy, Matplotlib)
- Data Visualization with Tableau & Power BI
Module 3: Data Cleaning & Preparation
- Data Quality & Cleaning Techniques
- Handling Missing Data & Outliers
- Data Transformation & Normalization
Module 4: Exploratory Data Analysis (EDA)
- Statistical Analysis & Data Insights
- Data Visualization Techniques
Module 5: SQL for Data Analytics
- Writing SQL Queries for Analysis
- Advanced SQL Techniques (Joins, Aggregation, Subqueries)
Module 6: Python for Data Analytics
- Data Manipulation & Automation
- Machine Learning Basics (Regression, Classification)
Module 7: Business Intelligence & Visualization
- Interactive Dashboards with Power BI & Tableau
- Data Storytelling & Business Insights
Module 8: Predictive Analytics & Machine Learning
- Building Predictive Models
- Introduction to AI & Data Science
Module 9: Big Data & Cloud Analytics
- Big Data Technologies (Hadoop, Spark)
- Cloud-Based Data Analytics (AWS, Google Cloud, Azure)
Module 10: Capstone Project & Certification
- Real-World Data Analytics Project
- Certification & Career Guidance
Who Should Enroll?
✅ Aspiring Data Analysts & Business Intelligence Professionals
✅ Students & Graduates Seeking a Data Science Career
✅ Working Professionals Looking to Upskill in Data Analytics
📞 Call 9312945741 or visit Nice Web Technologies to enroll today! 🚀