BUSINESS ANALYTICS
Business Analytics refers to the practice of using statistical, quantitative, and predictive methods, along with data visualization and decision-making tools, to analyze and interpret business data. It enables organizations to derive actionable insights, optimize processes, and make data-driven decisions to achieve strategic goals. Key components of business analytics include: Descriptive Analytics: Summarizes historical data to understand what has happened. Predictive Analytics: Uses statistical models and machine learning to forecast future outcomes. Prescriptive Analytics: Suggests optimal actions based on predictions and analysis. Applications range from improving customer experience and supply chain management to financial forecasting and risk assessment. Business analytics empowers
₹5000.00 ₹6000.00 17% OFF
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Course Overview
Duration: 3 Months
Format: Recorded Training & Hands-On Projects
Month 1: Training with Industry Mentors
- Objective: Gain foundational knowledge and insights from experienced professionals.
- Format: A combination of live sessions and recorded content, providing flexibility for participants.
Key Components:
- Live Sessions: Interactive lectures and Q&A with top industry mentors covering essential topics relevant to the field.
- Recorded Content: Access to pre-recorded sessions for flexible learning at your own pace.
- Topics Covered: Current industry trends, best practices, technical skills, and soft skills development.
Month 2: Hands-On Project Experience
- Objective: Apply learned concepts through practical experience.
Key Components:
- Live Research and Development Projects: Participants will engage in both minor and major projects, working on real-world challenges.
- Collaboration: Work in teams to foster collaboration, problem-solving, and innovation.
- Mentorship: Continuous support and guidance from industry mentors throughout the project phase.
Certification
Upon successful completion of the program, participants will receive:
- Course Completion Certificate: Recognizing the completion of the training and project components.
- Collaborated Internship Completion Certificate: Validating the hands-on experience gained during the program.
Schedule of Classes
Course Curriculum
1 Subject
Business Analytics
8 Exercises • 53 Learning Materials
Module 1
1.Introduction to Business Analysis
2.Introduction to Business Analysis-2
Introduction to Business Analysis
Business Analytics Module 1:quiz 1
Module 2
1.Understanding Stakeholders and Managing Requirements (1)
2 Understanding Stakeholders and Managing Requirements (1)
Understanding Stakeholders and Managing Requirements
Business Analytics quiz 2
Module 3
1 Business Process Modeling
2 Business Process Modeling
3 Business Process Modeling
4 Summary
Business Process Modeling
Business Analytics quiz 3
Module 4
1-Introduction to SQL
1-Introduction to SQL
2-Installation and Overview
3 Understanding_Data_Types_and_Keywords_in_MySQL.
4-Sub-queries
4-Creating Table
5- Insert and where clause.
FILES
Business Analytics quiz 4
Module 5
Part - 1
Numpy - Python
3. Part-2
4. Working_with_Data_using_Pandas
5.Data Preprocessing-1 (1)
6.Data Preprocessing-2 (1)
7.Data Preprocessing-3 (1)
8.Data Preprocessing
Data Preprocessing-3
Normalisation
FILES
Business Analytics quiz 5
Module 6
1 Introduction to Power BI 1
2. Getting started with Power BI (1)
3.Getting Started with Data Sources (1)
4.Building Dashboards
3. Data Sources
PowerBI Data
1-Introduction to Power BI
6-Data Visualization with Power BI
Business Analytics quiz 6
Module 7
1 Principles of Data Visualisation
1 Principles of Data Visualisation
2 and 3
4 Plotly
7-Data Visualization with Python
Business Analytics quiz 7
Module 8
1 Advanced Excel Introduction 1
2 Advanced Formulas and Functions 1
3 Data Cleaning and Preparation Techniques 1
4 PivotTables, PivotCharts, and Power Query 1
Advanced Formulas and Functions
Advanced Excel Introduction
PivotTables PivotCharts and Power Query
PROJECTS
1 Advanced Excel Project Sales Data 1
2 PowerBI Project Sales Data 1
PROJECTS
Submit the project
Course Instructor
SmartED Innovations
34 Courses • 10205 Students
SmartED
1 Courses • 20 Students
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