Power Bi Machine Learning
Power BI Machine Learning empowers business users with the ability to incorporate predictive insight
Power Bi Machine Learning
Power BI Machine Learning is a powerful tool that allows users to create and deploy machine learning models within the Power BI environment. It enables analysts and business users to leverage machine learning techniques to enhance data analysis, automate predictions, and uncover insights from complex data without the need for extensive programming knowledge or data science expertise.
To Download Our Brochure: https://www.justacademy.co/download-brochure-for-free
Message us for more information: +91 9987184296
Power BI Machine Learning is a powerful tool that allows users to create and deploy machine learning models within the Power BI environment. It enables analysts and business users to leverage machine learning techniques to enhance data analysis, automate predictions, and uncover insights from complex data without the need for extensive programming knowledge or data science expertise.
Course Overview
Power BI Machine Learning empowers users to build and deploy machine learning models directly within Power BI reports and dashboards. This course provides a comprehensive overview of the capabilities and features offered by Power BI Machine Learning, including model training, evaluation, and deployment. Students will learn how to leverage machine learning techniques to enhance data analysis, create predictive models, and gain actionable insights for decision-making.
Course Description
Learn the fundamentals of machine learning (ML) within the Power BI environment. This course covers data preparation, model creation, evaluation, and deployment using Power BI Desktop. You will gain hands-on experience building and deploying ML models to enhance your data analysis and decision-making capabilities.
Key Features
1 - Comprehensive Tool Coverage: Provides hands-on training with a range of industry-standard testing tools, including Selenium, JIRA, LoadRunner, and TestRail.
2) Practical Exercises: Features real-world exercises and case studies to apply tools in various testing scenarios.
3) Interactive Learning: Includes interactive sessions with industry experts for personalized feedback and guidance.
4) Detailed Tutorials: Offers extensive tutorials and documentation on tool functionalities and best practices.
5) Advanced Techniques: Covers both fundamental and advanced techniques for using testing tools effectively.
6) Data Visualization: Integrates tools for visualizing test metrics and results, enhancing data interpretation and decision-making.
7) Tool Integration: Teaches how to integrate testing tools into the software development lifecycle for streamlined workflows.
8) Project-Based Learning: Focuses on project-based learning to build practical skills and create a portfolio of completed tasks.
9) Career Support: Provides resources and support for applying learned skills to real-world job scenarios, including resume building and interview preparation.
10) Up-to-Date Content: Ensures that course materials reflect the latest industry standards and tool updates.
Benefits of taking our course
Functional Tools
Tools Used in Power BI Machine Learning Course:
- Power BI Desktop: A data analysis and visualization tool that provides a user friendly interface for creating and deploying machine learning models.
- 2. AutoML for Power BI: An automated machine learning feature that enables users to train and evaluate models without requiring extensive technical expertise.
- 3. Python: A versatile programming language widely used in data science, machine learning, and deep learning.
- 4. Azure Machine Learning Studio: A cloud based platform that offers a range of machine learning services, including model training, deployment, and management.
- 5. Azure Cognitive Services: A suite of cloud based APIs that provide pre built machine learning models for tasks such as natural language processing, computer vision, and speech recognition.
- 6. R: A statistical programming language widely used in data analysis, visualization, and statistical modeling.
- Offering Training Program to Students:
- Introductory courses: Provide an overview of machine learning concepts, Power BI tools, and Python fundamentals.
- Hands on workshops:* Lead students through practical examples of using AutoML, Azure ML Studio, and Azure Cognitive Services to build and deploy machine learning models within Power BI.
- Project based assignments:* Assign students projects that involve collecting data, preparing data, training models, and evaluating their performance in Power BI.
- Mentorship opportunities:* Provide students with access to industry professionals or experienced practitioners to guide their learning and provide support.
- Certification preparation:* Prepare students for industry recognized certifications in Power BI or machine learning to enhance their employability.
- Methods to Increase Points in Various Contexts:
- 1. Loyalty Programs:
- Enroll in loyalty programs:* Join loyalty programs offered by stores, credit cards, and airlines to earn points on purchases or activity.
- Use linked cards:* Connect your loyalty cards to payment methods to automatically earn points.
- Participate in bonus point promotions:* Take advantage of limited time offers that provide extra points for specific purchases or actions.
- 2. Credit Card Rewards:
- Use high rewards credit cards:* Choose credit cards that offer generous rewards points for everyday spending.
- Maximise category bonuses:* Use cards that offer bonus points in categories where you spend the most (e.g., groceries, gas, dining).
- Transfer points:* Convert points from one card to another within the same issuer's network to increase their value.
- 3. Travel Rewards:
- Book flights and hotels through airline and hotel loyalty programs:* Earn points on every flight or hotel stay you book directly through the loyalty portal.
- Use airline branded credit cards:* Earn points on all card purchases that can be redeemed for flights, seat upgrades, or other travel benefits.
- Take advantage of airline partnerships:* Partner airlines offer opportunities to earn points on each other's flights.
- 4. Gaming:
- Join gaming platforms with rewards systems:* Platforms like Xbox Live and PlayStation Plus provide points for playing games, completing achievements, and social interactions.
- Purchase in game content with reward points:* Use points earned from gameplay to acquire virtual items or upgrades.
- Participate in tournaments and challenges:* Win points by competing in gaming events and challenges.
- 5. Other Methods:
- Use apps that offer point based rewards:* Download apps that allow you to earn points for completing tasks, taking surveys, or shopping online.
- Participate in contests and giveaways:* Enter contests and giveaways to win points or prizes that can be converted to points.
- Sell unwanted items:* Sell items you no longer need through platforms that offer point based incentives for selling or buying.
- Strategies to Enhance Point Accumulation:
- 1. Loyalty Programs:
- * Join loyalty programs offered by your favorite stores, airlines, credit card companies, and other businesses.
- * Earn points on purchases, redeemable for discounts, rewards, or upgrades.
- 2. Credit Card Rewards:
- * Use credit cards that offer rewards in the form of points.
- * Choose cards that align with your spending habits, such as travel, dining, or gas.
- * Look for cards with introductory bonuses and high reward rates.
- 3. Travel Hacking:
- * Sign up for airline or hotel loyalty programs.
- * Take advantage of welcome bonuses, referral bonuses, and credit card points to earn free flights and accommodation.
- 4. Online Shopping:
- * Use shopping portals that offer rewards.
- * Search for discounts and coupons that provide cashback or points.
- * Consider using cashback apps like Ibotta or Rakuten for additional savings.
- 5. Surveys and Market Research:
- * Participate in online surveys or focus groups to earn points.
- * Apps like Swagbucks and InboxDollars offer rewards for completing tasks.
- 6. Referrals and Social Media:
- * Refer friends and family to loyalty programs you're enrolled in.
- * Share referral links on social media to earn bonus points.
- 7. Brand Partnerships:
- * Follow your favorite brands on social media.
- * Engage with their content and participate in promotions that offer points or rewards.
- 8. Gift Cards:
- * Purchase gift cards for businesses you frequent.
- * You'll earn points both when you buy the gift card and when it's redeemed.
- 9. Points Sharing:
- * Explore programs that allow you to share points with family members or friends.
- * This can help you accumulate points faster towards larger rewards.
- 10. Optimize Spending:
- * Focus on making purchases at businesses that offer generous rewards.
- * Bundle purchases to maximize point earning opportunities.
- * Consider using multiple credit cards to earn points in different categories.
- Remember:
- * Stay organized and track your points progress.
- * Redeem points for rewards that maximize their value.
- * Be patient and persistent, as accumulating points takes time and effort.
Browse our course links : https://www.justacademy.co/all-courses
To Join our FREE DEMO Session:
This information is sourced from JustAcademy
Contact Info:
Roshan Chaturvedi
Message us on Whatsapp: +91 9987184296
Email id: info@justacademy.co
Power Bi Automated Machine Learning
power bi FOR FINANCE PEOPLE training
