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Boost up Program for Mastermind & Growth Hack
Data Analytics with Machine Learning Certification
Duration-180 hrs | Placementship Plus
Familiarize with key data analytics terms and frameworks.
Utilize Power Query for data cleaning, transformation, and shaping to prepare datasets for analysis
Create data models by establishing relationships and hierarchies,learn best practices for data modeling.
Understand data security concepts in Power BI, including row-level security and sharing permissions.
Industry Readiness Certification Programs
Data Analytics with Machine Learning Certification
This certification program provides participants with the skills and knowledge to analyze data using Microsoft Power BI. It covers data preparation, visualization, and sharing insights through interactive reports and dashboards.
This Course is Suitable For
- Beginners: No prior coding or data analysis experience is required; just basic computer literacy and a willingness to learn.
- Students and Professionals: Students from any educational background looking to enhance their data analytics skills
- Entrepreneurs and Hobbyists: Individuals seeking to analyze data for personal projects or business purposes, and those interested in making data-driven decisions to enhance their ventures
Course Syllabus Highlights
Module 1: Excel for Data Analytics
- Introduction to Excel for Analytics
- Data Management Techniques
- Data Analysis Functions
- Data Visualization
- Data Analysis Toolpak
- Conclusive Result
Module 2: Python for Data Analytics
- Introduction to Python
- Data Manipulation with Pandas
- Exploratory Data Analysis (EDA)
- Statistical Analysis
- Introduction to Machine Learning
- Conclusive Result
Module 3: SQL for Data Analytics
- Introduction to SQL
- Basic SQL Queries
- Data Aggregation
- Data Manipulation
- Database Management
- Conclusive Result
Module 4: Tableau for Data Visualization
- Introduction to Tableau
- Creating Visualizations
- Dashboard Design
- Advanced Visualization Techniques
- Sharing and Publishing
- Conclusive Result
Module 5: Power BI for Business Intelligence
- Introduction to Power BI
- Data Transformation with Power Query
- Creating Reports and Dashboards
- Publishing and Sharing Reports
- Data Governance and Security
- Conclusive Result
Module 6: Introduction to Machine Learning
- Overview of Machine Learning
- Data Preparation
- Model Training and Evaluation
- Common Algorithms
- Conclusive Result
Module 7: Ethical Considerations in Data Analytics
- Understanding Data Ethics
- Data Privacy and Security
- Bias and Fairness in Data
- Data Governance
- Conclusive Result
Course Conclusion
- Connecting Front-End (HTML, CSS, JS) with Spring Boot
- A comprehensive project that requires the application of skills and tools learned throughout the course.
- 2 Final Assessment
- A comprehensive exam covering all tools and modules.
What You'll Learn?
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Getting Started with Power BI
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Data Sources and Data Connectivity
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Data Transformation with Power Query
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Data Modeling
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DAX (Data Analysis Expressions)
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Data Visualization Techniques
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Building Interactive Dashboards
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Sharing and Collaboration
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Power BI Reports and Apps
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Data Analysis and Business Intelligence
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Diwali Special Offer Upto 50% Off First 100 Students
Why Industry Demands of this Course ?
Data-Driven Decision Making
Growing Volume of Data
Big Data Revolution: The exponential growth of data generated from various sources (social media, transactions, IoT devices) necessitates skilled professionals who can analyze and derive meaningful insights from it.
Need for Efficient Tools:Power BI simplifies the data analysis process, making it essential for organizations to hire experts who can efficiently handle and analyze large volumes of data.
Increasing Use of Business Intelligence Tools
Importance of Visualization in Data Analysis
Effective Communication: Visualizing data helps stakeholders understand complex information quickly. Power BI enables the creation of interactive and visually appealing reports that enhance data storytelling.
Demand for Real-Time Analytics
Instant Insights: The ability to analyze data in real-time is vital for making quick business decisions. Power BI enables organizations to monitor performance metrics and KPIs live, leading to a need for trained analysts.
Proactive Decision-Making: Companies that can access and interpret real-time data are better positioned to respond proactively to market changes and customer needs.
Integration with Other Tools and Systems
Seamless Connectivity: Power BI integrates well with other Microsoft tools (like Excel and Azure) and various data sources, making it an essential part of many organizations’ analytics ecosystems.
Holistic View of Data: Professionals who understand how to connect and analyze data from multiple sources using Power BI are highly valued for their ability to provide a comprehensive view of business performance.
Continuous Learning and Skill Development
Evolving Analytics Landscape: The field of data analytics is constantly evolving, and organizations seek professionals committed to continuous learning and improvement. Certification demonstrates a commitment to staying updated with the latest tools and techniques.
Adaptability to New Technologies:Certified professionals are often more adaptable to new features and advancements in Power BI, ensuring organizations remain competitive.
Increased Job Opportunities and Salary Potential
High Demand for Analysts:The increasing need for data analytics professionals has led to numerous job openings and competitive salaries. Certified individuals often have an edge in the job market.
Career Advancement: Certification can lead to higher-level positions and opportunities for career advancement within organizations.
Support for Data Governance and Compliance
Data Integrity and Security:As data regulations become stricter, organizations need analysts who can ensure data governance and compliance while using tools like Power BI.
Risk Mitigation: Understanding how to properly analyze and present data while adhering to regulations minimizes the risk of compliance issues.
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