This official Microsoft course, PL-300: Power BI Data Analyst, replaces DA-100 and teaches attendees the methods and best practices that align with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. In this course, students learn how to access, clean up, and present data from a range of data sources, including both relational and non-relational data, then deploy their reports and dashboards for sharing and distribution. Participants also learn how to implement proper security standards and policies across the Power BI spectrum. This course prepares students for the PL-300 exam, for which every attendee receives a voucher.
All Microsoft Power BI training students receive Microsoft official courseware.
For all Microsoft Official Courses taught in their entirety that have a corresponding certification exam, an exam voucher is included for each participant.
Attendees will not need to install any software on their computer for this class. The class will be conducted in a remote environment that Skillsmetrix will provide; students will only need a local computer with a web browser and a stable Internet connection. Any recent version of Microsoft Edge, Mozilla Firefox, or Google Chrome will be fine.
Develop skills for real career growth
Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn by working on real-world problems
Capstone projects involving real world data sets with virtual labs for hands-on learning
Learn from experts active in their field, not out-of-touch trainers
Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Structured guidance ensuring learning never stops
24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts
Data analysts play a unique role among the many data-centric jobs often found in today's businesses. A Data Analyst commonly works on collecting and interpreting data, analyzing the outcome, and reporting the results back to the relevant team. A Data Analyser also works closely with identifying patterns and trends in data sets, working alongside organizations within the business or the management team to establish business needs, define new data collection and analysis processes, and add real value to a company.
This Data Analyst course developed in collaboration with IBM will give you sufficient insights into data analysis tools and methodologies to excel in your next role as a Data Analyst. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The online Data Analyst certification course will train you on statistics essentials, SQL basics, data science, and data visualization using R and Python, Business Analytics with Excel, Power BI, and Data Visualization with Tableau Desktop 10.
Although data analysts are well-paid worldwide and exponential demand for data analysts will never decline, data analysts' salaries vary in different sectors and nations. Data analysts' salaries depend on their skills, experience, company & location. Our Data Analyst course helps you achieve a higher salary, expertise, and skills to succeed in this lucrative growing profession.
Data Analysis is one of the major areas to explore in this digitalized world. To learn data analysis, you need to have an in-depth understanding of SQL, Python or R programming, data visualization techniques, statistics, regression, and more. While you can get started on your own, it is recommended to enroll in a University partnered Data Analytics Program to learn data analytics from Purdue faculty. You’ll get up-to-date knowledge of the field and know about the strategies and best practices that are actually followed by companies.
This p\online Data Analyst certification course consists of the following modules:
Yes, anyone embarking on a career as Data Analyst can take these Data Analyst courses. Getting certified will demonstrate your seriousness towards the field and help you build a strong foundation in data analytics concepts.
