Course Includes:
- Created by: AOS
- Contact us: +91-9717900635
- Course Duration: 40 Hours
- Course Delivery: Offline/Online
- Language: English,Hindi
- Certificate: Yes
Power BI Course Description :
Our comprehensive Power BI course is the best way to become a Master of Power BI, Microsoft’s powerful data visualization and business intelligence tool. This course will take you from the basics to advanced features, enabling you to transform your data into actionable insights and create reports or dashboards that have an impact.
About the Course:
We designed our Power BI course with deep insight on capabilities of PowerBI; right from data connectivity as well as modeling, creating advanced visualizations and dashboards. It helps you convert raw data into important insights that enable the decision-making process in organizations through analysis of the data. Whether you are a beginner with this tool or want to improve your skills, we offer inclusive training which makes you a professional in matters related to Power BI. Be one among us as we raise your ability on dealing with information numbers!
Power BI Curriculum:
- Understanding Power BI
- Overview of Power BI Components: Desktop, Service, and Mobile
- Exploring the Power BI Interface
- Getting Started with Data
- Connecting to Various Data Sources
- Importing and Transforming Data
- Building Data Models
- Creating Relationships between Tables
- Data Normalization and Denormalization
- Introduction to DAX (Data Analysis Expressions)
- Basic DAX Functions and Formulas
- Calculated Columns and Measures
Introduction to Power BI
- Overview of Power BI tools and services
- Connecting to data sources
- Building basic reports and dashboards
Advanced Power BI
- Data modeling in Power BI
- DAX (Data Analysis Expressions) basics
- Advanced visualization techniques and custom visuals
- Creating Visual Reports
- Designing Basic and Advanced Visualizations
- Customizing Visuals and Report Layouts
- Enhancing Reports
- Using Filters, Slicers, and Drill-Throughs
- Interactive Features: Bookmarks and Buttons
- Data Transformation
- Cleaning and Shaping Data with Power Query Editor
- Advanced Data Transformation Techniques
- Combining Data
- Merging and Appending Queries
- Using Parameters in Queries
- Advanced DAX Functions
- Time Intelligence Functions
- Advanced Calculations and Key Performance Indicators (KPIs)
- Optimizing Data Models
- Best Practices for Data Model Performance
- Handling Large Datasets
- Advanced DAX Functions
- Time Intelligence Functions
- Advanced Calculations and Key Performance Indicators (KPIs)
- Optimizing Data Models
- Best Practices for Data Model Performance
- Handling Large Datasets
- Publishing and Sharing
- Publishing Reports to Power BI Service
- Sharing Reports and Dashboards with Others
- Collaboration Features
- Workspaces and Apps
- Implementing Row-Level Security (RLS)
- Integration with Other Tools
- Integrating Power BI with Excel, SharePoint, and Microsoft Teams
- Using Power Automate for Workflow Automation
- Embedding Power BI
- Embedding Reports in Web Applications and SharePoint
- Power BI API for Developers
Program Highlights
- Hands-On Learning: Engage in practical exercises and real-world projects.
- Expert Instructors: Learn from seasoned Power BI professionals.
- Flexible Learning: Access course materials online anytime, anywhere.
- Certification: Earn a certificate upon successful completion of the course.
- Community Support: Join a community of learners and get support from peers and instructors.
Data Analytics Course Program Highlights
- Introduction to Data Analytics: Overview, Importance, and Basic Concepts.
- Statistics Analysis: Tools for summarizing and interpreting data, such as descriptive statistics or inferential methods.
- Data Visualization: Tools and principles to effectively present data through graphs, charts, or dashboards.
- Data Mining: Techniques for finding patterns and relationships within large datasets using algorithms and statistical techniques.
- Machine Learning: Introduction to algorithms and models for predictive analytics and pattern recognition.
- Database Administration: Skills needed for organizing, storing, and retrieving information using relational databases and SQL.
- Big Data Technologies: Here is an overview of technologies and platforms for processing large data volumes.
- Ethics and Privacy: Considerations when managing sensitive data ethically and legally.
- Case Studies and Projects: Practical applications of data analytics techniques applied directly to real-world problems through individual or collaborative projects.
- Industry Applications: Exploration of how data analytics is employed across various fields such as finance, healthcare, and marketing.
- Emerging Trends in Data Analytics: Analysing new developments and trends in data analytics such as AI-powered or IoT data analytics.
- Capstone Project: Concluding project in which students apply all learned data analytics skills to solve a vital data analytics challenge or issue.
About Data Analyst
The Data Analytics course offered by the Academy of Success aims to equip participants with all the skills and knowledge required to excel in the rapidly expanding data analytics industry. AOS is one of the premier institutes offering courses related to this sector with industry-relevant curriculums taught by expert faculty.
Participants begin by mastering foundational concepts of data analytics, such as types and sources, lifecycle, and advanced statistical techniques, and then apply both descriptive and inferential statistics techniques for data analysis to gain meaningful insight.
Practical skills in data wrangling and preprocessing will be emphasized during this workshop, teaching participants to effectively clean, transform, and prepare data for analysis using tools such as Python, R, SQL Server, or Tableau. Gaining such hands-on experience ensures efficient visualization and clear communication of findings from this training course to stakeholders.
This course covers predictive analytics and machine learning techniques for participants to build and evaluate predictive models using real-world datasets. Through practical projects and case studies, they gain experience applying these techniques to solve complex business issues while streamlining decision-making processes.
Ethics are at the core of AOS' curriculum for data analytics training courses. Participants learn about privacy regulations, ethical data practices, and upholding data security and integrity while conducting analyses.
AOS offers comprehensive career support beyond technical skills development. This includes workshops on resume building and interview preparation, networking events with industry professionals, and support to prepare graduates to begin successful careers as data analysts, data scientists, or business intelligence specialists in different sectors.
Overall, the Academy of Success's Data Analytics course blends theoretical understanding with practical application, equipping participants to effectively utilize data in our increasingly data-driven world and contribute to organizational success in this increasingly informational sphere.
Eligibility
- 12th pass
- Basic Computer Knowledge
Exam Details
- Offline/Online Mode
Upcoming Batch
| S.NO. | AI Starting Batch |
|---|---|
| 1 | 10th of every month |
| 2 | 15th of every month |
| 3 | 18th of every month |
