Why pursue a career in Business Intelligence
No advanced programming skills needed to launch a BI career
Embarking on a BI career by learning SQL databases, which typically have simpler syntax, might be easier compared to diving into an object-oriented programming language; the demand for programming abilities may differ based on job specifications, the data processing and analytics needs of a particular organization.
Various educational backgrounds are welcome
Of course, having relevant education is always a plus; however, companies hire individuals who can demonstrate business intelligence and analytics skills with various backgrounds.
Cross-industry career opportunities
Business Intelligence Analysts operate across various industries, and while industry-specific knowledge is beneficial, professionals with BI expertise can transition to relevant roles in different sectors, leveraging their transferable skills in data analysis and decision-making.
Job Outlook
Business Intelligence Analysts
Median Salary
U.S. Nationwide 2022
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$103,500
onetonline.org
Projected Growth
Number of jobs 2023-2032
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9%
onetonline.org
Number of Jobs
2022
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168,900
onetonline.org
Why this training
Career accelerator
Move forward confidently in your new career path with our accelerated program, opening doors to new opportunities in as little as 6-10 months.
Comprehensive course
Our course package provides technical essentials necessary for aspiring BI Analysts, improving adaptability to fulfill job criteria and stand out to recruiters.
Realistic mastery
Uncover a practical and attainable path to success through our BI Analyst training, where confidence and capability merge to empower individuals from diverse backgrounds.
Professional-led training
Gain insights from New York City experts in our BI Analysis course, ensuring your skills align with global industry standards
Why Us?
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We conduct IT training in New York City since 1993
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Our training is approved by the New York State Education Department
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We offer hands-on training to acquire practical, in-demand skills
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We design up-to-date curriculum to meet job market requirements
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Course Objectives
This course prepares students to excel as Junior Business Intelligence (Data) Analysts through two main components: the Data Analytics Core, providing fundamental analytics skills and software tool proficiency, and the Business Intelligence with SQL Server Core, covering essential BI skills like integration, reporting, analysis services, database maintenance basics, and cloud services.
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Data Analytics Core:
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Gain proficiency in basic statistics for data analysis
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Master advanced functionalities of Excel for data manipulation and analysis
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Learn data visualization techniques using Tableau for insightful analysis and reporting
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Develop proficiency in working with SQL Server databases for data retrieval and management
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Business Intelligence Core:
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Master the intricacies of SQL Server Integration Services (SSIS), including ETL (Extract, Transform, Load) tasks, for comprehensive data integration and management
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Learn SQL Server Reporting Services (SSRS) for creating and managing reports
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Understand SQL Server Analysis Services (SSAS) for multidimensional data modeling and analysis
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Acquire an introduction to database administration to understand basic principles and practices in managing databases effectively
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Gain insights into cloud-based data solutions with AWS/Azure
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Gain expertise in leveraging Power BI for business intelligence solutions, including data visualization, interactive dashboard creation, data modeling, DAX (Data Analysis Expressions) language proficiency, and data exploration techniques
Course Topics
Data Analysis Core:
Statistics Basics
Some students may find their understanding of statistics to be somewhat rusty. By incorporating this module into our curriculum, we ensure that all students achieve the same level of familiarity with the subject.
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Students will review basic concepts and terminology in Statistics. In this module, you'll delve into fundamental statistical concepts essential for data interpretation and analysis. Explore topics such as population and sample, descriptive and inferential statistics, and the organization of data variables and scales. Learn how to describe data using tables and graphs, distinguishing between qualitative and quantitative variables, as well as sample and population distributions.
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Discover various measures of central tendency, including mode, median, and mean, along with measures of variation such as range, interquartile range, and standard deviation. Gain an understanding of probability distributions, including the normal distribution, and explore sampling distributions and point estimation.
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Dive into hypothesis testing, including p-values and null and alternative hypotheses, and learn about popular analysis methods, such as descriptive statistics, regression, correlation, t-tests, ANOVA, and sampling methods.
Advanced Excel
In this module, we cover the most popular techniques, such as formulas, math and logical functions, statistical functions, lookup, pivot tables, and using macros.
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In this Advanced Excel module, students will delve into advanced Excel techniques essential for efficient data manipulation and analysis. Learn various math functions such as Auto Sum, Absolute Values, and Rounding Values, as well as text and date functions to handle text and date-related data effectively.
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Explore logical functions like IF, AND, OR, and NOT for making decisions and performing conditional calculations. Gain proficiency in statistical functions such as SUMIF, COUNTIF, and SUMPRODUCT for analyzing data based on specific criteria.
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Discover additional functionalities including lookup, sorting/filtering data, pivot tables and pivot charts, and power pivot tables for dynamic data analysis. Additionally, get a quick review of VBA scripting and using macros to automate repetitive tasks and enhance productivity.
SQL Databases
This module teaches how to work with relational databases, specifically focusing on extracting and manipulating data using SQL queries.
In our SQL Databases module, students will gain comprehensive knowledge of SQL fundamentals essential for effective data querying and manipulation. Learn to craft powerful SELECT queries to retrieve data from databases, and master techniques for filtering, grouping, and sorting data to extract valuable insights efficiently. Explore advanced SQL concepts including joins and unions to combine data from multiple tables seamlessly. Gain proficiency in utilizing built-in functions to manipulate dates and strings effectively.
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Understand the importance of primary and foreign key table relationships, and discover strategies for optimizing database performance using indexes. Dive into additional topics such as creating views for simplified data access, leveraging conditional testing with IF and CASE statements, and performing data manipulation operations including inserting, updating, and deleting records.
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By the end of the module, students will have a solid understanding of SQL databases and the ability to leverage SQL skills to extract, manipulate, and analyze data effectively.
Data Visualization with Tableau
Tableau is one of the most popular data visualization tools in the market, offering flexibility in building dashboards and employing advanced data visualization techniques
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In our Data Visualization with Tableau module as part of the BI Analysts course, students will explore the Tableau interface and paradigm to create impactful data visualizations. Learn how to create calculations, build dashboards, and utilize advanced chart types to present data effectively.
Gain proficiency in creating complex calculations to manipulate and analyze data, and utilize statistical techniques to derive meaningful insights. Discover advanced geographic mapping techniques for spatial analysis and visualization of both geographic and non-geographic data.
Learn how to prepare data for analysis, combine data from multiple sources using data blending techniques, and complete exercises to apply the skills learned throughout the module.
Business Intelligence Core:
SQL Server Integration Services (SSIS)
This module covers essential SSIS concepts, deployment, and debugging techniques to enable efficient data integration and workflow automation for business intelligence applications
This module provides comprehensive training on SQL Server Integration Services (SSIS), focusing on data integration and workflow automation. The module covers essential topics including looping, variables, sorting, package configuration, and scheduling to manipulate data efficiently. Students learn to handle variables dynamically, manage package execution schedules, and write data to flat files from folders.
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In the deployment section, students delve into deploying SSIS solutions, managing logins, and understanding protection levels for securing sensitive data. They also learn to handle events within SSIS packages and utilize SSIS with .NET components for enhanced functionality and customization. Debugging is emphasized as a critical skill for ensuring the reliability and performance of SSIS packages. Techniques covered include implementing checkpoints, using transactions for data consistency, configuring error outputs for handling errors, employing debugging tools for troubleshooting, and utilizing data viewers to inspect data flow within SSIS pipelines.
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It's important for BI Analysts to know SQL Server Integration Services (SSIS) because it provides them with a powerful toolset for efficiently extracting transforming, and loading (ETL) data from various sources into data warehouses or other analytical systems. SSIS allows BI Analysts to automate complex data workflows, handle data cleansing and transformation tasks, and ensure data quality, ultimately enabling them to generate accurate insights and reports for informed decision-making within organizations.
SQL Server Reporting Services (SSRS)
The module equips BI Analysts with the skills to utilize SQL Server Reporting Services for generating comprehensive reports, enabling data-driven decision-making within organizations.
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The module offers fundamentals of SQL Server Reporting Services (SSRS) and its applications in generating reports for data analysis and presentation. The module teaches various aspects of SSRS architecture, including parameters for interactive report filtering, headers, footers for layout customization, and pagination for managing large report outputs.
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Students learn to connect SSRS to different data sources, implement filters for refining data retrieval, create matrix reports for multidimensional analysis, and apply conditional formatting to highlight important information within reports. Advanced SSRS functionalities are also explored, including working with report templates for consistent formatting, understanding the Report Definition Language (RDL) for report customization, incorporating sub-reports for modular report design, creating advanced reports with interactive features, and integrating charts and .NET components for enhanced data visualization.
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Additionally, the module covers the configuration, migration, and deployment of SSRS in a server farm environment. Topics include setting up authentication mechanisms, managing report builders for ad-hoc report creation, understanding key management principles, and optimizing SSRS performance within server farms. By the end of the module, students will have the skills and knowledge necessary to design, develop, deploy, and manage robust reporting solutions using SQL Server Reporting Services, empowering them to generate actionable insights from organizational data for informed decision-making.
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SSRS is a powerful tool for creating, managing, and delivering reports that are essential for data analysis and decision-making within organizations. it allows BI analysts to design and deploy interactive and visually appealing reports, enabling them to effectively communicate insights derived from data analysis to stakeholders. Additionally, proficiency in SSRS enhances the BI analyst's ability to extract valuable information from data, contribute to informed decision-making processes, and drive business growth and efficiency.
SQL Server Analysis Services (SSAS)
This module is covering multidimensional data modeling, Key Performance Indicators (KPIs), and advanced data mining techniques, empowering students to perform sophisticated data analysis and support decision-making within organizations.
This is SQL Server Analysis Services (SSAS) module provides fundamentals in multidimensional data modeling and analysis. Students learn about cube dimensions, facts, attributes, named calculations, hierarchies, attribute relationships, and custom sorting techniques essential for building multidimensional data models.
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The module covers using SSAS to define and measure Key Performance Indicators (KPIs), organizing them into buckets, defining named sets, tracking KPI trends, establishing parent-child KPI relationships, and implementing drill-down capabilities. Advanced SSAS features for data mining, including translations, perspectives, partitioning, aggregations, designing data mining models, and utilizing techniques such as decision trees and clustering, are also explored.
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By the end of this module, students will have the skills and knowledge necessary to design, develop, and deploy robust multidimensional data models using SQL Server Analysis Services, empowering them to perform sophisticated data analysis and derive valuable insights to support decision-making within organizations.
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SSAS enables BI analysts to create and manage multidimensional data models essential for in-depth analysis and reporting. With SSAS, analysts can develop complex cubes, define measures and dimensions, and implement advanced analytical functionalities like Key Performance Indicators (KPIs) and data mining algorithms. This knowledge empowers BI analysts to generate actionable insights, improve decision-making processes, and support strategic initiatives within organizations.
Business Intelligence with Power BI
Power BI offers numerous features for creating reports and dashboards, enabling effective extraction and transformation of insights from data, along with advanced data analytics capabilities.
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In this module, students will delve into the intricacies of utilizing Power BI to harness the full potential of data for insightful analysis and decision-making.
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Learn the fundamentals of connecting to various datasources, deploying data gateways, and managing connections with import and DirectQuery methods. Dive into data modeling essentials including layout, data types, filtering, merging, and basic transformations to prepare data for analysis effectively. Master advanced Power BI features such as creating relationships between data tables, formatting data, and implementing various calculations including iterators, logical functions, and date/time functions. Explore techniques for handling errors, cleaning text fields, and applying business rules to derive valuable insights. Understand the power of quick measures and learn to leverage them efficiently to streamline the analysis process. Gain hands-on experience in building robust reports and dashboards that communicate insights effectively to stakeholders.
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By the end of the module, students will be equipped with the skills to leverage Power BI as a powerful tool for business intelligence, enabling them to drive data-driven decisions and deliver impactful solutions.
Duration: 16 weeks
The actual number of weeks depends on holidays and the schedule
Course Schedule:
Tuesday (7PM-9:30PM)
Wednesday (7PM-9:30PM)
Thursday (7PM-9:30PM)
Sunday (10AM-3:30PM)
Eastern Standard Time (New York Time)
Training Type: Remote
This is a remote synchronous instructor-led training
Tuition
$2,550
Payment plan
We offer three installments payment plan. First payment of $1,000 (registration), second payment of $1,000 (30 days after the start), and $550 (60 days after the start).
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​Flexible refund policy
The course didn't work out for you? No problem. Ask for eligible refund: 1st week 100%, 2nd week 75%, 3rd week 50%, 4th week 25%. Except non-refundable $50 registration fee.
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​No full tuition commitment
Unlike other schools, we have no "full tuition commitment" policy when a student withdraw from the course. Stop when you drop. Contact for details.
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​We offer free retake
Completed the course, but need to retake some of the modules or a whole course again? We can do it. Let us know in advance. Limited seats. 12 months eligibility.​
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Customize Your Training
FULL
COURSE
A robust approach for effectively starting a career in business intelligence & analytics
Data Analysis Core:
Statistics Basics
Advanced Excel
SQL Databases
Data Visualization with Tableau
Business Intelligence Core:
SQL Server Integration Services (SSIS)
SQL Server Reporting Services (SSRS)
SQL Server Analysis Services (SSAS)
Business Intelligence with Power BI & DAX
10 hours/week
16 weeks
Best Value
$2,550
BUSINESS INTELLIGENCE CORE
Best for people with SQL and IT experience looking to advance their career
Business Intelligence Core:
SQL Server Integration Services (SSIS)
SQL Server Reporting Services (SSRS)
SQL Server Analysis Services (SSAS)
Business Intelligence with Power BI & DAX
7.5 hours/week
10 weeks
$1,550
Tuition Assistance
You may be eligible for a training grant. Please visit our Tuition Assistance page for more information or contact us.
Course Advantages
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Only 16 weeks to learn a new profession: No additional years in college
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Weekday evening and weekend classes: Attend your other life commitments
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Remote course: Study from anywhere
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Real-time instructor-led classes: No more uncompleted self-paced online courses
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Affordable training costs: No unnecessary financial burdens
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Free retake opportunity: Refresh the skills that you have learned for free
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Payment plan: Finance your education with confidence
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Flexible refund policy: Less financial risks and peace in mind
Let's get you hired
Where Our Students Work
Success Stories
"As a Sr. Developer I highly recommend courses at SAM Career Center. In particular Data Analysis, SAS Programming, MS BI (SSIS, SSAS, SSIS). I like their virtual classes option."
Yuriy, Sr. Developer
"Awesome awesome place to improve your IT qualification or start new career! Staff is absolutely accomodating and friendly. Teachers are totally professional. Highly recommended to anyone who want to pave his way into IT industry."
Alex, Analyst
"All instructors I met in Sam Consulting classes was very professional. The hours I spent during and after classes, giving me individual attention to ensure I grasped the material, went above and beyond my expectations. Thank you all for the patience, and organizing the process with good outlines, especially with remote sessions!"
Garry, Sr. BI Analyst
Frequently Asked Questions
What is the application and enrollment process?
There are two steps. First, an informal admission interview over the phone, where we have the opportunity to answer questions about the course and discuss the applicant’s background (education, experience) to ensure their training needs align with the course objectives. The goal is to help the applicant make an informed decision. Second, once approved by our admissions team, we send our standard enrollment paperwork to sign and an invoice for the first payment, concluding the enrollment process.
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What are the course prerequisites?
Excel and Statistics basics. Completed college degree (associate or bachelor's) or nearing graduation is highly preferred, most majors are acceptable. Any related work experience and education is welcome, but not required.
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What placement assistance services do you offer to your students?
We provide free assistance with resume editing and optimization for the target job, behavioral interview questions, technical interview questions, and job search resources and strategies. These services are available to students upon request. Additionally, we offer career coaching services as an optional add-on for an additional fee.
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Do you guarantee jobs after completing the course?
As a school, we strive to create a productive learning environment that enables students to unlock their potential for a successful new career; however, we cannot promise employment to all our students.
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Is your training hands-on?
Yes, while we do have a theoretical component, the majority of hours are dedicated to hands-on practical training to develop skills essential for the job.
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How can I maximize the training for better job prospects?
Actively engaging in classes is crucial, offering valuable feedback for instructors to tailor their focus. Attend all sessions, as new topics build on previous lectures. Ensure completion of homework and utilize recommended supplemental materials. Additionally, concentrate on optimizing your resume and LinkedIn profile while honing your skills in answering interview questions.
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What are the advantages of your training compared to any self-paced online course?
Since 1993, our training has offered a system that has helped hundreds of students start new careers. It helps maintain self-discipline, provides feedback and guidance from industry professionals with years of experience, and offers carefully designed comprehensive hands-on training optimized for employment. While we do recommend some self-paced online courses as supplemental materials, online courses may not be the best option for everyone as a main training source, especially for individuals making a transition into a new career.
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What are the advantages of your training compared to boot camps?
The price of our courses is significantly lower than the average boot camp price, which may vary from $8,000 to $18,000. We offer a comparable number of actual instructor-led hours. We have a flexible refund policy and no "full tuition" commitment for students who decide to withdraw from the training. Our evening and weekend schedule allows students to attend to other life commitments. We have over 30 years of experience in conducting IT training in New York City.
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Am I eligible for a training grant?
To determine your eligibility for a training grant, please visit our Tuition Assistance page or give us a call at 718-648-3997.