MS Power BI Course

|| MS Power BI Online Course for Dahod

The MS Power BI Course at BIT Dahod is designed to provide learners with a comprehensive understanding of modern business intelligence through Microsoft’s robust and versatile data visualization platform. This course covers a broad spectrum of Power BI tools and techniques, beginning with an introduction to the Power BI interface and extending to advanced data analytics, dashboard design, and cloud-based reporting. Participants are trained to import data from multiple sources, clean and transform it using Power Query, and model it effectively to build meaningful relationships across datasets. With a strong emphasis on DAX (Data Analysis Expressions), learners gain the capability to perform complex calculations and derive insights that enhance decision-making processes.

As the training progresses, students explore best practices for designing compelling, interactive dashboards that communicate key business metrics with clarity and precision. The course also delves into publishing reports on the Power BI Service, managing workspaces, and using Power BI gateways for enterprise-grade solutions. Real-world case studies and domain-specific projects are integrated throughout the course, giving learners hands-on experience in solving actual business problems using Power BI. Whether aiming to become a business analyst, data analyst, or reporting specialist, this course equips students with industry-relevant skills and certifications that are highly valued across sectors. The holistic curriculum, practical approach, and expert mentorship at BIT Dahod ensure that learners graduate with confidence in leveraging data to drive strategic decisions and add value to any organization.

|| Choose MS Power BI Course From BIT

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|| What will I learn?

Students should learn how to create interactive and visually appealing reports and dashboards using Power BI's visualization tools.
The course may cover methods for sharing Power BI reports and dashboards with others within an organization or externally

The course should teach best practices for designing efficient data models and reports in Power BI to ensure optimal performance.
Learners may also be introduced to the Power BI service, which allows for cloud-based sharing, collaboration, and management of Power BI content.

|| What will I learn?

Students should learn how to create interactive and visually appealing reports and dashboards using Power BI's visualization tools.
The course may cover methods for sharing Power BI reports and dashboards with others within an organization or externally
The course should teach best practices for designing efficient data models and reports in Power BI to ensure optimal performance.
Learners may also be introduced to the Power BI service, which allows for cloud-based sharing, collaboration, and management of Power BI content.

|| Requirements

Students should have basic computer skills, including familiarity with operating systems (e.g., Windows), file management, and navigating software applications.

Some Power BI courses may have prerequisites, such as completion of a basic data analysis or Excel course, to ensure that students have the foundational knowledge needed to understand Power BI concepts.

|| Requirements

Students should have basic computer skills, including familiarity with operating systems (e.g., Windows), file management, and navigating software applications.
Some Power BI courses may have prerequisites, such as completion of a basic data analysis or Excel course, to ensure that students have the foundational knowledge needed to understand Power BI concepts.

A Microsoft Power BI course covers the essential aspects starting with an introduction to its components, platforms, installation, and navigation. It includes modules on connecting, cleaning, and transforming data, followed by data modeling with relationship creation and DAX calculations. The course teaches creating and customizing visuals, both basic and advanced, and using DAX for comprehensive analysis. It covers publishing reports, creating dashboards, and managing apps through Power BI Service, as well as optimizing reports for mobile use. Integration with Excel for data import and analysis, advanced features like row-level security, embedding, dataflows, and AI/ML integration are also included. The course concludes with Power BI administration, practical case studies, and an optional certification preparation module with tips, sample questions, and mock exams.

Introduction to Power BI Desktop
Overview of Power BI
Key Features and Benefits
Comparison with other BI tools

Getting Started with Power BI Desktop
Installation and Setup
Tour of the Interface
Navigating Power BI Ribbon and Panes

Connecting to Data Sources
Importing Data from Excel
Connecting to Databases (SQL Server, MySQL, etc.)
Using Web and Text Data Sources

Transforming and Cleaning Data
Understanding Power Query Editor
Data Cleaning and Shaping
Merging and Appending Queries

Data Modeling in Power BI
Introduction to Data Modeling
Creating Relationships between Tables
Defining Calculated Columns and Measures

Creating Visualizations
Types of Visualizations (Bar charts, Line charts, Pie charts, etc.)
Formatting and Customizing Visuals
Using Interactive Filters and Slicers

Advanced Visualizations and Techniques
Hierarchies and Drill-downs
Using Custom Visuals
Applying Themes and Templates

Module 8: Working with Maps and Geographic Data
Mapping Data Points
Using Shapefiles and Custom Maps
Geocoding and Location Analytics

Creating Dashboards
Designing Effective Dashboards
Using Tiles and Q&A Features
Sharing Dashboards

Data Analysis Expressions (DAX)
Introduction to DAX
Writing DAX Formulas
Calculating Totals, Ratios, and Percentages

Advanced Data Modeling with DAX
Understanding CALCULATE and FILTER Functions
Time Intelligence Functions (DATESYTD, SAMEPERIODLASTYEAR, etc.)
Implementing Row-level Security

Power BI Service Integration
Publishing Reports to Power BI Service
Setting up Scheduled Data Refresh
Sharing and Collaborating on Reports

Data Insights and AI Features
Introduction to AI Insights in Power BI
Using Quick Insights and AI Visuals
Integrating Azure AI Services

MS Power BI Server Exercise
Importing and Transforming Data
Task: Import sales data from Excel, clean and transform data using Power Query.
Outcome: Create a clean dataset ready for analysis.

Creating Basic Visualizations
Task: Build a bar chart and a line chart to visualize sales trends.
Outcome: Understand basic visualization types and formatting options.

Creating Advanced Visualizations
Task: Create a slicer-based dashboard page with interactive visuals.
Outcome: Learn how to use slicers, filters, and drill-down capabilities.

Implementing DAX Calculations
Task: Write DAX formulas to calculate year-to-date sales and growth percentages.
Outcome: Gain proficiency in using DAX for calculations and analysis.

Publishing and Sharing Reports
Task: Publish a completed sales dashboard to Power BI Service, set up scheduled refresh.
Outcome: Understand the workflow of publishing and sharing reports.

Introduction to Power BI Server
Overview of Power BI Ecosystem
Key Features and Capabilities
Understanding Power BI Server vs. Power BI Online

Installation and Configuration
System Requirements and Installation Steps
Configuring Power BI Server
Integration with Active Directory

Power BI Server Architecture
Components Overview (Gateway, Data Sources, Reports)
Understanding Data Gateways
Security and Permissions

Data Sources and Connectivity
Connecting to Various Data Sources
Live vs. DirectQuery vs. Import
Refreshing Data

Creating Reports and Dashboards
Using Power BI Desktop for Report Authoring
Building Interactive Visualizations
Designing Effective Dashboards

Publishing and Managing Reports
Publishing Reports from Power BI Desktop to Power BI Server
Organizing Content in Workspaces
Version Control and Sharing Reports

Data Security and Governance
Implementing Row-level Security
Applying Security Policies
Data Encryption and Compliance

Advanced Analytics and AI Integration
Introduction to AI Features in Power BI
Using Custom Visuals and R/Python Scripts
Integrating Azure AI Services

Performance Optimization
Optimizing Query Performance
Improving Report Rendering Speed
Monitoring and Troubleshooting

Customizing and Extending Power BI
Creating and Using Custom Themes
Developing Custom Visuals
Using Power BI APIs for Automation

Practical Exercises
Exercise 1: Setting up Power BI Server
Exercise 2: Creating and Publishing Reports
Exercise 3: Implementing Security Measures
Exercise 4: Performance Optimization Tasks
Exercise 5: Customizing Reports and Dashboards

Case Studies and Real-world Applications
Industry-specific Use Cases
Success Stories and Best Practices

MS Power BI Desktop Exercise
Setting up Power BI Server
Install Power BI Server on a local machine or VM.
Configure basic settings and connect to a sample database.

Creating and Publishing Reports
Design a sales dashboard using Power BI Desktop.
Publish the dashboard to Power BI Server and configure data refresh.

Implementing Security Measures
Set up row-level security based on user roles.
Configure encryption settings and access policies.

Performance Optimization Tasks
Identify slow-performing reports and optimize queries.
Monitor resource usage and apply performance tuning techniques.

Customizing Reports and Dashboards
Customize the appearance of reports using custom themes.
Create a custom visual using Power BI SDK and integrate it into a dashboard.

Microsoft Power BI case studies cover a diverse range of processes and applications across industries, showcasing its ability to transform raw data into actionable insights. These case studies often focus on topics such as sales and marketing analytics, where Power BI is used to analyze sales performance, customer segmentation, and marketing campaign effectiveness. Financial analytics case studies demonstrate how Power BI helps monitor financial metrics, such as revenue, expenses, and profitability, integrating data from multiple sources for comprehensive financial reporting. Operational analytics highlight Power BI's role in optimizing production metrics, supply chain performance, and inventory management through intuitive dashboards and real-time data visualization. Human resources analytics showcase Power BI's capabilities in analyzing workforce demographics, performance metrics, and recruitment effectiveness to enhance HR strategies. Customer analytics case studies illustrate how Power BI is used to understand customer behavior, satisfaction levels, and retention strategies through CRM data analysis and customer insights. Healthcare analytics case studies demonstrate Power BI's impact on patient outcomes, hospital operations, and healthcare provider performance by analyzing clinical data and operational metrics. These case studies collectively emphasize Power BI's versatility in transforming complex data into actionable insights across various sectors, driving informed decision-making and operational efficiencies.

Microsoft Power BI case studies typically revolve around leveraging the capabilities of Power BI to solve real-world business challenges and enhance decision-making processes. Here are some common topics covered in Power BI case studies:

Sales and Marketing Analytics
Analyzing sales performance across regions, products, or sales channels.
Creating interactive dashboards to monitor sales KPIs (Key Performance Indicators) in real-time.
Visualizing marketing campaign effectiveness and ROI (Return on Investment) using campaign analytics.

Financial Reporting and Analysis
Creating financial dashboards to visualize revenue, expenses, and profitability trends.
Generating balance sheet, income statement, and cash flow statement reports.
Performing variance analysis and forecasting financial metrics based on historical data.

Operational Efficiency and Supply Chain Management
Monitoring supply chain performance metrics such as inventory levels, lead times, and supplier performance.
Optimizing production schedules and resource allocation using operational analytics.
Visualizing operational KPIs to identify bottlenecks and improve efficiency.

Customer Insights and CRM Analytics
Analyzing customer behavior and segmentation to identify high-value customer segments.
Creating customer retention dashboards and churn analysis reports.
Integrating Power BI with CRM systems like Salesforce for comprehensive customer analytics.

Human Resources and Employee Performance
Tracking HR metrics such as employee turnover, recruitment effectiveness, and training ROI.
Visualizing workforce demographics and performance metrics.
Analyzing employee engagement survey results and HR analytics for strategic workforce planning.

Healthcare Analytics
Analyzing patient data and healthcare outcomes to improve patient care and operational efficiency.
Visualizing healthcare KPIs such as patient wait times, bed occupancy rates, and treatment outcomes.
Monitoring healthcare facility performance and resource utilization.

Social Media and Digital Marketing Analytics
Integrating social media data (e.g., Facebook, Twitter) to analyze engagement metrics, sentiment analysis, and campaign performance.
Visualizing website traffic, conversion rates, and digital marketing campaign effectiveness.
Creating interactive dashboards for digital marketing teams to track social media ROI and optimize campaigns.

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|| Skills to Master

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|| Scope for MS Power BI Course in India

The scope for an MS Power BI course in India is substantial, driven by the growing demand for data analysis and business intelligence professionals across various industries. Here are some key factors that highlight the potential and opportunities for pursuing a Power BI course in India:

High Demand for Data Professionals: Businesses increasingly rely on data to make informed decisions, leading to a surge in demand for data analysts, business intelligence (BI) developers, and data scientists. Power BI, being one of the leading BI tools, is widely adopted by companies for its robust data visualization and reporting capabilities.
Diverse Job Opportunities: Proficiency in Power BI opens up various career paths, including roles like Data Analyst, BI Developer, Data Visualization Specialist, and Business Analyst. Industries such as IT, finance, healthcare, retail, e-commerce, and consulting are actively hiring Power BI professionals.
Competitive Salaries: Skilled Power BI professionals command competitive salaries. Entry-level positions offer attractive packages, which increase significantly with experience and expertise.
Adoption by Enterprises: Many large and medium-sized enterprises in India are adopting Power BI for their business intelligence needs due to its integration capabilities with various data sources and ease of use.
Skill Development and Certifications: Acquiring a certification in Power BI from recognized institutions or online platforms can enhance job prospects and credibility in the job market. Microsoft offers official Power BI certifications, such as Microsoft Certified: Data Analyst Associate, which are highly regarded by employers.
Growth in Data Analytics Sector: The data analytics market in India is growing rapidly, driven by digital transformation and the increasing importance of data-driven decision-making. The Indian government's push for initiatives like Digital India and the rise of startups also contribute to the demand for BI tools and professionals.
Online and Offline Learning Options: Numerous institutes and online platforms offer Power BI courses, providing flexibility for learners to choose based on their schedules and preferences. Courses range from beginner to advanced levels, catering to different learning needs and career stages.
Global Opportunities: Proficiency in Power BI is not limited to the Indian job market; it opens doors to global job opportunities, especially in countries with a high demand for data professionals.

Given these factors, pursuing an MS Power BI course in India is a promising career move, offering numerous opportunities for growth, high earning potential, and the ability to work in diverse and dynamic industries.

|| MS Power BI Course Career Option and Opportunities

Pursuing a course in MS Power BI opens up various career options and opportunities, reflecting the increasing demand for data visualization and business intelligence expertise. Here’s a detailed look at the career paths and opportunities available for those skilled in Power BI:

Career Options
Data Analyst: Analyzing data sets to identify trends, patterns, and insights. Creating reports and dashboards using Power BI. Strong analytical skills, data visualization, SQL, and a good understanding of business processes.
Business Intelligence (BI) Developer: Designing, developing, and maintaining BI solutions. Creating data models and performing ETL (Extract, Transform, Load) processes. Power BI, SQL, data warehousing, data modeling, and ETL tools.
Data Visualization Specialist: Creating visually compelling and informative dashboards and reports to communicate data insights effectively. Advanced Power BI, design principles, data storytelling, and user experience (UX) design.
Business Analyst: Bridging the gap between IT and business, analyzing business needs, and providing data-driven recommendations. Power BI, requirement gathering, process modeling, and stakeholder management.
Data Scientist: Using statistical methods and machine learning techniques to analyze complex data and build predictive models. Power BI, programming (Python/R), machine learning, and statistical analysis.
Power BI Consultant: Advising organizations on best practices for using Power BI, implementing solutions, and training users. Power BI expertise, project management, client-facing skills, and training abilities.

Opportunities

Industry Demand

IT and Software: Power BI skills are highly sought after in tech companies for developing data-driven applications and solutions.
Finance and Banking: For analyzing financial data, risk management, and reporting.
Healthcare: For patient data analysis, operational efficiency, and reporting.
Retail and E-commerce: For sales analysis, inventory management, and customer insights.
Consulting: Many consulting firms require BI professionals to help their clients with data strategy and implementation.

Freelancing and Remote Work

The demand for Power BI professionals allows for freelancing opportunities and remote work, giving flexibility and the chance to work with global clients.

Startup Ecosystem

Startups, particularly in the tech and analytics sectors, are keen on leveraging data insights, creating opportunities for Power BI professionals.

Government Initiatives

With the push for digital transformation in various sectors, government projects also need BI tools and expertise to manage and analyze data effectively.

Educational and Training Roles

Opportunities to work as a trainer or educator in institutes offering Power BI courses or conducting corporate training sessions.

Career Advancement

Starting in entry-level roles, Power BI professionals can advance to senior positions such as Senior Data Analyst, BI Manager, or Head of Analytics.

|| MS Power BI courses holds a Prominent Position in Indian Job Market

MS Power BI courses in India offer robust placement opportunities across various sectors, reflecting the growing demand for data analytics and business intelligence skills. Many reputed training institutes and online platforms provide comprehensive Power BI courses that include practical training, project work, and placement assistance. Graduates of these courses can find opportunities in diverse industries such as IT, finance, healthcare, e-commerce, and manufacturing. Companies ranging from large multinational corporations to dynamic startups are actively seeking skilled Power BI professionals to help them make data-driven decisions. Job roles commonly available for Power BI course graduates include Business Intelligence Analyst, Data Analyst, Business Analyst, and Data Visualization Specialist. Furthermore, partnerships between educational institutions and leading companies often facilitate direct recruitment drives and internships, significantly enhancing the job prospects for Power BI professionals in India.

|| Empowering Your Career Transition From Learning To Leading

Divyanshi Suryawanshi

5 View LinkedIn

Divyanshi Suryawanshi, a proud BIT graduate, is excelling as a Data Analyst at Tacttree LLP. Her expertise in data analysis and problem-solving, built through BIT's strong focus on technical and software skills, showcases how the institute prepares students for success in data-driven industries beyond traditional engineering roles.

Dixita Vandra

5 View LinkedIn

Dixita Vandra, a proud BIT graduate, is successfully working as a Customer Service Associate at The Home Depot. With strong communication skills and a professional approach nurtured at BIT, she exemplifies how the institute prepares students for global opportunities, combining technical knowledge with real-world readiness across diverse career paths.

Shivam Uttekar

5 View LinkedIn

Shivam Uttekar, a proud BIT graduate, is excelling as a Data Analyst at Tacttree LLP. BIT's strong focus on technical training and software proficiency has enabled students like Shivam to succeed in data-centric roles, proving that the institute prepares graduates not just for mechanical careers but for dynamic opportunities across various industries.

Duhita Tandon

5 View LinkedIn

Duhita Tandon, a proud BIT graduate, is making great strides as a Data Analyst at Gavit e-Services. With a solid foundation in data handling, analysis, and software skills built at BIT, she is well-equipped for the data-driven industry. BIT continues to empower students with relevant technical expertise and practical skills beyond core mechanical engineering, ensuring career success in diverse fields.

Rajvi Suthar

5

Rajvi Suthar, excelling as a Data Analyst at Tata Consultancy Services (TCS), leverages unique tools such as Python for scripting, R for statistical analysis, and Alteryx for data blending. Her adept use of these cutting-edge tools contributes to efficient and advanced data analysis solutions.

|| Job Roles for MS Power BI Course

After completing an MS Power BI course, you can pursue various job roles across industries. Here are some common job roles for individuals skilled in MS Power BI:

Data Analyst: Analyzing large datasets to extract actionable insights. Creating interactive dashboards and reports using Power BI. Communicating findings to stakeholders and making data-driven recommendations.
Business Intelligence Developer: Designing and developing BI solutions using Power BI. Building data models, implementing ETL processes, and optimizing data pipelines. Integrating Power BI with other systems and databases for data visualization and analysis.
Data Visualization Specialist: Creating visually appealing and informative dashboards and reports using Power BI. Applying design principles and best practices for effective data communication. Customizing visualizations and implementing advanced features of Power BI.
Business Analyst: Gathering and analyzing business requirements for BI solutions. Translating business needs into technical specifications and data models. Using Power BI to generate insights and support decision-making processes.
BI Consultant: Providing consulting services to clients for implementing Power BI solutions. Advising on best practices, architecture design, and data governance. Conducting training sessions and workshops for users on Power BI usage and functionalities.
Data Scientist (with Power BI skills): Applying statistical analysis and machine learning techniques to derive insights from data. Integrating Power BI into data science workflows for visualization and reporting. Building predictive models and deploying them within Power BI for real-time analytics.
Project Manager (BI Projects): Leading BI projects involving the implementation of Power BI solutions. Managing project timelines, resources, and deliverables. Collaborating with stakeholders to define project objectives and ensure alignment with business goals.
Data Engineer (with Power BI expertise): Designing and maintaining data infrastructure to support Power BI analytics. Developing data pipelines for data ingestion, transformation, and storage. Ensuring data quality and security standards are met within Power BI environments.
Financial Analyst (with Power BI skills): Analyzing financial data and performance metrics using Power BI. Creating financial models, forecasts, and scenario analyses. Generating financial reports and dashboards for management reporting.
Sales Analyst (with Power BI proficiency): Analyzing sales data, trends, and performance metrics. Creating sales forecasts, territory analysis, and pipeline reports using Power BI. Supporting sales teams with actionable insights and recommendations.

These roles demonstrate the versatility and applicability of MS Power BI skills across various domains, including data analysis, business intelligence, consulting, and project management. Depending on your interests and career aspirations, you can choose a role that aligns with your strengths and professional goals.

|| Average Salary for MS Power BI Course in India

The average salary for individuals with skills in MS Power BI can vary depending on several factors such as location, level of experience, company size, and industry. However, here's a general overview of the average salaries for MS Power BI professionals at different experience levels in India:

Entry-Level (0-2 years of experience): The average salary for entry-level MS Power BI professionals in India ranges from ₹300,000 to ₹600,000 per annum.
Mid-Level (2-5 years of experience): Mid-level MS Power BI professionals in India can expect an average salary between ₹600,000 to ₹1,200,000 per annum.
Experienced (5-10 years of experience): For professionals with 5 to 10 years of experience in MS Power BI, the average salary can range from ₹1,200,000 to ₹2,000,000 per annum.
Senior-Level (10+ years of experience): Senior MS Power BI professionals with over 10 years of experience can command average salaries of ₹2,000,000 or more per annum.

These figures are approximate and can vary based on factors such as the specific skills possessed, the demand for MS Power BI professionals in the region, and the economic conditions prevailing at the time. It's always a good idea to research current job listings and consult with industry professionals for the most accurate salary information.

|| Top Hiring Companies

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|| Some Prominent Companies in India that use MS Power BI Course

Several companies across various industries in India use MS Power BI for their data visualization and business intelligence needs. Here’s a list of some prominent companies known to utilize Power BI:

IT and Technology Companies

Tata Consultancy Services (TCS):TCS uses Power BI for data analysis and reporting solutions for its clients across various sectors.
Infosys: Infosys leverages Power BI to provide business intelligence and analytics solutions to its global clientele.
Wipro: Wipro incorporates Power BI in its analytics and information management services.
HCL Technologies: HCL Technologies utilizes Power BI for creating dashboards and data visualization for its projects.
Tech Mahindra: Tech Mahindra employs Power BI for data-driven decision-making and insights.

Financial Services and Banking

HDFC Bank: HDFC Bank uses Power BI to analyze financial data, improve customer services, and enhance decision-making processes.
ICICI Bank: ICICI Bank employs Power BI for various analytics and reporting functions.
Axis Bank: Axis Bank uses Power BI to gain insights from its vast data sources and enhance its operational efficiencies.
SBI (State Bank of India);SBI uses Power BI to analyze transaction data and improve financial services.

Retail and E-Commerce

Flipkart: Flipkart uses Power BI for sales analysis, inventory management, and customer insights.
Reliance Retail: Reliance Retail employs Power BI to streamline its operations and gain actionable insights from data.
Future Group: Future Group uses Power BI for data visualization and business intelligence to drive its retail operations.

Healthcare

Apollo Hospitals: Apollo Hospitals uses Power BI to analyze patient data and improve healthcare delivery.
Fortis Healthcare: Fortis Healthcare leverages Power BI for operational and clinical data analysis.

Manufacturing

Tata Steel: Tata Steel uses Power BI for performance analysis, production data visualization, and operational insights.
Mahindra & Mahindra: Mahindra & Mahindra employs Power BI for business intelligence across its various manufacturing processes.

Consulting and Professional Services

Deloitte India: Deloitte India uses Power BI for providing analytics and business intelligence consulting services.
KPMG India: KPMG India employs Power BI to deliver data-driven insights and reporting solutions to its clients.
PwC India: PwC India uses Power BI for data analysis and to provide business intelligence solutions.

Telecommunication

Bharti Airtel: Bharti Airtel uses Power BI for analyzing customer data, network performance, and business operations.
Vodafone Idea: Vodafone Idea employs Power BI to enhance its business intelligence capabilities.

Energy and Utilities

Reliance Industries Limited (RIL): Reliance Industries uses Power BI for operational analysis and data-driven decision-making.
Tata Power: Tata Power leverages Power BI for analyzing energy production data and improving operational efficiencies.

Education and E-Learning

Byju's: Byju's uses Power BI for student performance analysis and business operations.
Educomp Solutions: Educomp Solutions employs Power BI for educational data analysis and insights.

These companies, among others, highlight the widespread adoption of MS Power BI in India across diverse sectors, emphasizing its importance in data visualization and business intelligence.

|| Job Roles and Salary

Data Analyst

Business Intelligence Developer

Data Visualization Specialist

BI Consultant

Data Scientist (With Power BI Skills)

Project Manager (BI Projects)

Business Analyst

0-2 years

2-5 years

5+ years

|| Get MS Power BI Certification Training

Three easy steps will unlock your MS Power BI Certification:

Finish the online / offline course of MS Power BI Course and the Assignment
Take on and successfully complete a number of industry-based Projects
Pass the MS Power BI Certification exam

The certificate for this MS Power BI Certification will be sent to you through our learning management system, where you can also download it. Add a link to your certificate to your CV or LinkedIn profile.