About This Course
- Gain a solid understanding of Microsoft SQL Server and databases, including how to design, develop, and maintain them
- Learn the fundamentals of Power BI, Microsoft’s powerful business analytics service, and how to create stunning reports and visualizations
- Discover how to build relationships between data sources and group data for better insights
- Learn how to organize and select data in Power BI, and how to transform and clean data with Power Query
- Master advanced Power BI techniques, such as using bookmarks, integrating with Azure, and data modeling
- Customize your visualizations in Power BI to suit your needs and the needs of your audience
- Learn advanced data transformation techniques with Power Query, and how to optimize data models for better performance
- Master DAX formulas and functions for data analysis in Power BI, including advanced DAX techniques and data modeling with DAX
- Learn how to collaborate and share data in the cloud with Power BI Cloud Service, and how to integrate Excel data and manage row-level security
- Discover how to build customized business solutions with Power BI and PowerApps, and how to develop reports with Power BI Report Server and RDL
- Learn how to build real-time projects and gain hands-on experience with the tools and techniques used in the industry
Job market overview
Ready to become a BI Developer? With an average salary of $91,153 per year, this role is financially rewarding and intellectually stimulating. As a BI Developer, you will be responsible for designing and developing data models, building reports and dashboards to help organizations make data-driven decisions.
Now, What are you waiting for? Our training program is designed to help you master the skills needed to become a successful BI Developer. Enroll in our training program today and take the first step towards a rewarding career in Business Intelligence. Start your success story with us!
What you will learn
The objective of a Business Intelligence and Advanced Analytics Masters Program is to equip learners with the necessary skills to gather, analyze, and interpret complex data, and communicate insights to stakeholders effectively. Upon completion of the program, learners will have a strong foundation in data analysis, data visualization, and reporting, and be proficient in using various business intelligence tools and technologies. Specifically, learners can expect to learn:
Overall, learners will gain expertise in the use of business intelligence and advanced analytics tools and technologies, and be able to leverage data to make informed business decisions.
Course Format
- Live classes
- Hands-on trainings
- Mini-projects for every module
- Recorded sessions (available for revising)
- Collaborative projects with team mates in real-world projects
- Demonstrations
- Interactive activities: including labs, quizzes, scenario walk-throughs
What this course includes
- 180+hrs of live classes
- Collaborative projects
- Slide decks, Code snippets
- Resume preparation from the 2nd week of course commencement
- 1:1 career/interview preparation
- Soft skill training
- On-call project support for up to 3 months
- Certificate of completion
- Unlimited free access to our exam engines
Our students work at
Course Outline
Prerequisites
- Basic programming knowledge in SQL, Python, or Java
- Working knowledge with Excel
- Basics of statistics/mathematics
Why Take Course With Us
- Project-Ready, Not Just Job-Ready!
By the time you complete our program, you will be ready to hit the ground running and execute projects with confidence.
- Authentic Data For Genuine Hands-On Experience
Our curated datasets sourced from various industries, enable you to develop skills in realistic contexts, tackling challenges in your professional journey.
- Personalized Career Preparation
We prepare your entire career, not just your resume. Our personalized guidance helps you excel in interviews and acquire essential expertise for your desired role.
- Multiple Experts For Each Course
Multiple experts teach various modules to provide you diverse understanding of the subject matter, and to benefit you with the insights and industrial experiences.
- On-Call Project Assistance After Landing Your Dream Job
Get up to 3 months of on-call project assistance from our experts to help you excel in your new role and tackle challenges with confidence.
- A Vibrant and Active Community
Get connected with a thriving community of professionals who connect and collaborate through channels like Discord. We regularly host online meet-ups and activities to foster knowledge sharing and networking opportunities.
FAQs
Business Intelligence (BI) refers to the technologies, applications, and practices used to collect, integrate, analyze, and present business information. Advanced Analytics refers to the use of statistical, mathematical, and machine learning techniques to extract insights from data. This program covers both BI and Advanced Analytics topics.
You should have basic knowledge of statistics, mathematics, and programming. Experience in using Microsoft Excel, SQL, and data visualization tools like Power BI/Tableau is highly desired.
This program prepares you for a variety of roles in the fields of business intelligence, data analysis, and data science. Some of the job titles that you can pursue after completing this program include Data Analyst, Business Intelligence Analyst, Data Scientist, Business Intelligence Developer, Data Engineer, and more.
Learning Business Intelligence and Advanced Analytics can help you gain insights from data and make data-driven decisions that can improve business outcomes. This skillset is in high demand in today's job market, and learning it can open up new career opportunities for you.
This program is delivered entirely online, through a combination of live-sessions, quizzes, assignments, and projects.
Tools Covered
Course Completion Certification
Learning Objectives
Target Audience
- Computer Science or IT Students or other graduates with passion to get into IT
- Data Warehouse, Database, SQL, ETL developers who want to transition to Data Engineering roles
