✔ No Prior Experience Required | ✔ Beginner Friendly
Data Analytics plays a vital role in helping businesses make informed decisions through data-driven insights. This course equips you with practical skills in data analysis, visualization, reporting, and business intelligence using modern analytical tools and real-world datasets.
Understand how to collect, organize, analyze, and interpret data to support business decisions.
Gain real-world experience through assignments, case studies, and guided practical exercises.
Work with tools such as Microsoft Excel, SQL, Power BI, Tableau, and Python for data analysis and reporting.
Develop the skills required for roles in Data Analytics, Business Intelligence, Reporting, and Data Visualization.
Strengthen your practical knowledge by working on projects that reflect real business scenarios.
Study concepts and techniques aligned with current industry practices to prepare for today’s analytics roles.
Course Level : Beginner to Advanced
Learning Mode : Online / Offline
Practical Training : Hands-on Practice with Real-World Assignments
Course Duration : 6 Months / 3 Months
Live Projects : Work on Live Projects on Data Analytics
Digital Marketing Tools : Learn Python, SQL, Power BI & More
Certification : Course Completion Certificate
Batch Options : Weekday & Weekend Batches
Free Demo Class : Attend a Free Demo Before Enrolling
Career Guidance : Career Counseling and Interview Preparation
Build a strong foundation by understanding the core concepts of data analytics, including data types, analytical processes, and how organizations use data to make informed business decisions.
Learn advanced Excel techniques such as formulas, functions, Pivot Tables, charts, conditional formatting, and data cleaning to analyze and organize business data efficiently.
Understand how to retrieve, filter, sort, and manage data stored in databases using SQL queries. Learn essential database concepts required for modern data analysis.
Discover techniques to identify missing values, remove duplicate records, format datasets, and prepare clean, accurate data before performing analysis and reporting.
Learn how to present complex data in a simple and meaningful way using charts, graphs, dashboards, and visual reports that help businesses understand trends and insights.
Create professional dashboards and interactive reports using Power BI. Learn how to connect data sources, build visualizations, and generate business intelligence reports.
Explore Tableau for creating dynamic dashboards, interactive charts, and visual reports that simplify large datasets and support data-driven decision-making.
Learn the fundamentals of Python programming for data analysis, including data manipulation, automation, and working with libraries commonly used in analytics.
Develop skills to design clear, interactive dashboards and professional reports that communicate key performance indicators (KPIs) and business insights effectively.
Apply your learning through practical projects using real-world datasets. Gain hands-on experience in solving business problems through structured data analysis.
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