Advanced Data Analysis Secrets Unlocked

Course overview

Advanced data analysis skills are more than just a skill; they are a competitive advantage. Those who can delve deeply into statistics and uncover hidden insights enjoy a unique position in a world where data is the foundation of decision-making. No matter what industry you work in—finance, marketing, healthcare, or any other—being able to analyses complicated data gives you the capacity to influence outcomes, enhance plans, and spur success.

With the help of this extensive program, you’ll set out on a transformational trip that will advance your data analysis abilities. You will delve deeply into the nuances of advanced data analysis techniques, tools, and approaches as you build on your core knowledge. This course is made to provide you with the skills necessary to succeed in the field of data analysis, whether you’re a business professional looking to make educated decisions or a data enthusiast eager to unleash the potential of information.

Introduction

Welcome to the Certified Advanced Data Analysis using Microsoft Power BI course, your route to mastering advanced data insights with Microsoft Power BI and becoming a certified expert data analyst.

Organizations aim to capitalize on the crucial skill of turning raw data into actionable insights in today’s data-driven world in order to make wise decisions. With the help of Microsoft Power BI, a potent business analytics tool, experts like you can analyses large datasets and find hidden patterns, visualize trends, and derive actionable insights. This course goes beyond the basics and gives you the know-how to use Power BI to carry out complex data analysis.

Participants will progress through this extensive course from a seasoned Power BI user to an accredited advanced data analyst. You will delve into complex data modeling approaches; learn how to write complex computations using Data Analysis Expressions (DAX), and produce eye-catching visualizations that persuade viewers to take certain actions. As a result, you will be able to execute sophisticated analysis as well as deliver outcomes effectively and efficiently. The course will also give you insights into data governance, performance optimization, collaboration, and automation.

We are The Training Bee, a global training and education firm providing services in many countries. We are specialized in capacity building and talent development solutions for individuals and organizations, with our highly customized programs and training sessions.

Participants will obtain a thorough understanding of advanced data analysis using Microsoft Power BI after successfully completing this course and you will also receive a certification that attests to your proficiency. Using this certification, you can demonstrate your dedication to excellence and mastery of advanced data analysis using Power BI.

Are you prepared to start this life-changing journey? Join us as we delve into the depths of advanced data analysis, reveal the secrets of DAX, and equip you with the tools you need to use Microsoft Power BI to achieve advanced data analyst certification. Together, let’s dive in and unleash the power of data!

Learning Objectives

Upon completing Certified Advanced Data Analysis, participants will be able to:

• Connect to multiple sources of data and import them.
• Utilize Power Query Editor to carry out intricate data transformations.
• For complicated computations and measurements, use sophisticated DAX functions.
• Use temporal intelligence techniques when doing a date-based analysis.
• To gain insights, use calculations and statistical analysis.
• Utilize historical data to implement forecasting and trend analysis.
• Implement data-level permissions and row-level security.
• Maintain data audit trails and lineage for compliance.

Our Unique Training Methodology

This interactive course comprises the following training methods:

• Journaling – This consists of setting a timer and letting your thoughts flow, unedited and unscripted recording events, ideas, and thoughts over a while, related to the topic.
• Social learning – Information and expertise exchanged amongst peers via computer-based technologies and interactive conversations including Blogging, instant messaging, and forums for debate in groups.
• Project-based learning
• Mind mapping and brainstorming – A session will be carried out between participants to uncover unique ideas, thoughts, and opinions having a quality discussion.
• Interactive sessions – The course will use informative lectures to introduce key concepts and theories related to the topic.
• Presentations – Participants will be presented with multimedia tools such as videos and graphics to enhance learning. These will be delivered engagingly and interactively.

Training Medium

This Certified Advanced Data Analysis training is designed in a way that it can be delivered face-to-face and virtually.

Course Duration

This training is versatile in its delivery. The training can be delivered as a full-fledged 40-hour training program or a 15- hours crash course covering 5 hours of content each day over 3 days

Pre-course Assessment

Before you enroll in this course all we wanted to know is your exact mindset and your way of thinking.
For that, we have designed this questionnaire attached below.

• What are some applications for Power BI, and how can it help businesses with data analysis?
• Give an example of a data transformation operation and describe the function of the Power Query Editor in Power BI.
• How can data modeling improve Power BI’s analytical capabilities? Give a summary of a data model’s essential elements.
• What does “Data Analysis Expressions” (DAX) mean? Give an illustration of a situation where the use of DAX calculations could improve data analysis.
• Describe the Power BI idea of relationships. How are associations between tables created and managed?
• What purpose do the time intelligence functions in DAX serve? Give an example of how you might use a report’s time intelligence features.

Course Modules

This Certified Advanced Data Analysis covers the following topics for understanding the essentials of the Agile Workplace:

Module 1 – Power BI: An Introduction to Advanced Data Analysis

• Using Power BI, comprehend the responsibilities of a data analyst
• Overview of the principles and methods used in data analysis
• Overview of the Power BI services and tools

Module 2 – Principles of Data Analysis

• Advanced Data Analysis Overview
• Investigating various data kinds and their properties Understanding the value of advanced data analysis in decision-making
• A general overview of statistical principles and data analysis techniques
• Best practices for data analysis in terms of ethics

Module 3 – Analyzing Exploratory Data

• Techniques for pre-processing and cleansing data
• Data visualization and summary using graphs and charts
• Determining and handling outliers and missing data
• Investigating connections and correlations in data
• Testing hypotheses and inferential statistics

Module 4 – Data Transformation and Preparation

• Using numerous data sources to connect to
• Data transformation techniques with Power Query Editor
• Data cleansing, structuring, and synthesis for analysis

Module 5 – Inference from Statistics

• Techniques for sampling and the fundamentals of hypothesis testing
• Confidence intervals and population parameter estimation
• ANOVA is a statistical method for comparing various groups.
• Interpreting statistical significance and p-values
• approaches for data analysis that are non-parametric

Module 6 – Modern Visualization Methods

• Making bespoke and complex visualizations
• Creating interactive reports and dashboards
• Using drill-through, bookmarks, and buttons to improve user experience

Module 7 – Analysis of Regression

• The assumptions underlying linear regression
• approaches for model selection and multiple regression
• Regression coefficient interpretation and model fit evaluation
• dealing with heteroscedasticity and multicollinearity

Module 8 – Insights from advanced analytics

• Analysis and computations for time intelligence
• DAX-based forecasting and predictive modeling
• Statistics and measurements

Module 9 – Statistical Modeling

• a description of predictive modeling methods
• Classification and regression using decision trees and random forests
• Binary classification using logistic regression
• Metrics for measuring model performance

Module 10 – Analyses of Time Series

• A description of time series data and its properties
• Pattern analysis of temporal data
• Analysis of trends and seasonal breakdown
• Approaches for forecasting, such as exponential smoothing and moving averages
• Time series forecasting using ARIMA models

Module 11 – Machine learning and data mining

• Data mining and machine learning ideas and algorithms
• Using clustering to group related data points
• Miner associations and market basket analysis
• Algorithms for supervised and unsupervised learning are introduced.
• Techniques for detecting anomalies

Module 12 – Collaboration and Service for Power BI

• Power BI Service reports can be shared and published.
• Managing workspaces, dashboards, and datasets
• Working together with coworkers and stakeholders

Module 13 – Communication and Data Visualization

• The fundamentals of efficient data visualization
• Instruments and methods for producing powerful visualizations
• Using data to tell stories and effectively expressing findings
• Interactive dashboards for reporting and data exploration

Module 14 – Microsoft BI power Exam PL-300 Practice and Preparation

• Reviewing the exam’s requirements and goals
• Exam example questions and drill tests
• Test-taking techniques and advice

Post-course Assessment

Participants need to complete an assessment post-course completion so our mentors will get to know their understanding of the course. A mentor will also have interrogative conversations with participants and provide valuable feedback.

• In what steps does a Power BI solution set up data lineage tracking and auditing? Describe how it affects governance and compliance.
• Perform a Power BI report analysis and make precise optimization suggestions to improve the report’s responsiveness and load times.
• Create a Power Automate procedure that automatically updates a Power BI dataset and notifies stakeholders through email when it is finished.
• Give an example of a Power BI case study where sophisticated data analysis produced business-impacting insights. Describe the analysis’s methodology, major conclusions, and results.
• Create an intricate report layout that successfully combines cross-filtering, drill-through, and bookmarks to offer a dynamic user experience.
• Create a data model with many tables and relationships for a scenario involving a sales analysis.

Lessons Learned

Making Impactful Visualizations: Participants learn how to make compelling visualizations and dashboards that improve data storytelling and help stakeholders reach conclusions quicker.

Driving Insights through Analysis: Participants learn how to use the features of Power BI to execute advanced analytical activities, like as statistical analysis, forecasting, and predictive modeling.

Performance Optimization: Participants gain knowledge of methods for improving the loading, responsiveness, and user experience of Power BI reports and models.

Collaboration and Sharing: By exchanging reports via the Power BI service, working in teams, and integrating reports into other apps, participants learn how to cooperate efficiently.

Participants learn how to automate data refresh and report dissemination as well as how to integrate Power BI with other Microsoft tools and platforms.

“Learning Certified Advanced Power BI Insights Proficiency: Going Beyond Analysis”