14 Best Business Analytics Certifications - 2024
Highly curated best Business Analytics certification courses for beginners. Start with the best Business Analytics courses and learn analytics.
The Best Business Analytics Certifications Courses online in 2024 for beginners.
One of the main reasons given for unsuccessful project results is the lack of a clear understanding of stakeholder requirements. Business analysis helps to prevent project failure by identifying and validating those requirements early on.
Of course, the business analysis does not stop with requirements; business analysts also recommend solutions and facilitate their execution. The use of business analytics has grown exponentially in all areas, including healthcare, government, retail, e-commerce, media, manufacturing, and the service industry.
Why be a Business Analyst in the first place?
1. Potential Earnings – Let’s be honest it’s the main reason we work in the first place. So, you’ll be happy to hear that a typical Business Analyst (BA) earns over $78,000 per year. And that is only the average. Work hard, continue to increase the value you provide, and just imagine how much you could end up making!
2. Market Growth – The Business Analysis job market is expected to grow at a rate of 19% over the next 10 years, so get in now and take advantage of an industry that’s on the rise. In fact, per the US Bureau of Labor Statistics, American employers will need 876,000 business analysis related professionals in 2020. It is a great time to be versed in business analysis!
3. Career Springboard – The skills you learn as a Business Analyst are crucial to a host of many other professions, everything from IT to Business. This career path isn’t just a job, it’s an investment in your future.
4. Use Existing Industry Knowledge – Similarly, the skills you’ve learned outside of the business analysis world are highly valued in the industry – so rather than starting anew, you can be put your experience to good use.
5. It’s Never Boring – With new projects always on the horizon, and different challenges to tackle each day, the role of a Business Analyst never grows stale.
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Top Business Analytics Certification Courses List
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Become a Business Intelligence (BI) Analyst: The Complete Course
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Business Analysis (BA) Fundamentals: Train to Be a Business Analyst
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Business Analytics: Understanding and Using Confidence Intervals
1. Business Analytics
In this course, you will learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations.
- Course rating: 4.6 out of 5.0 (22,293 Ratings total)
- Duration: 72 Hours
- Certificate: Certificate of completion
In this course, you will learn:
- how data is used for recruiting and performance evaluation.
- how to model supply and demand for various business scenarios.
- solve business problems with data-driven decision-making.
- the tools used to predict customer behavior.
You will develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you will apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.
The next part focuses on how the data can be used to profitably match supply with demand in various business settings. Here, you will learn how to model future demand uncertainties, how to predict the outcomes of competing policy choices, and how to choose the best course of action in the face of risk.
The course will introduce frameworks and ideas that provide insights into a spectrum of real-world business challenges, will teach you methods and software available for tackling these challenges quantitatively as well as the issues involved in gathering the relevant data.
Next, you will explore the state-of-the-art techniques used to recruit and retain great people, and demonstrate how these techniques are used at cutting-edge companies. It will explain how data and sophisticated analysis is brought to bear on people-related issues, such as recruiting, performance evaluation, leadership, hiring and promotion, job design, compensation, and collaboration.
This course is an introduction to the theory of people analytics and is not intended to prepare learners to perform complex talent management data analysis. By the end of this module, you will understand how and when hard data is used to make soft-skill decisions about hiring and talent development so that you can position yourself as a strategic partner in your company’s talent management decisions.
Next, you will learn how data is used to assess what drives financial performance and to forecast future financial scenarios. While many accounting and financial organizations deliver data, accounting analytics deploys that data to deliver insight. You will understand how financial data and non-financial data interact to forecast events, optimize operations, and determine strategy.
Finally, you will know how to use data effectively to address the business challenges of your own. You will understand how cutting-edge businesses use data to optimize marketing, maximize revenue, make operations efficient, and make hiring and management decisions so that you can apply these strategies to your own company or business.
You can take the Business Analytics Certification Course on Coursera.
2. Become a Business Intelligence (BI) Analyst: The Complete Course
The skills you need to become a BI Analyst - Statistics, Database theory, SQL, Tableau – Everything is included
- Course rating: 4.5 out of 5.0 (26,118 Ratings total)
- Duration: 20 Hours
- Certificate: Certificate of completion
In this course, you will learn how to:
- become an expert in Statistics, SQL, Tableau, and problem-solving.
- boost your resume with in-demand skills.
- gather, organize, analyze, and visualize data.
- use data for improved business decision-making.
- present information in the form of metrics, KPIs, reports, and dashboards.
- perform quantitative and qualitative business analysis.
- analyze current and historical data.
- find trends, market conditions, and research competitor positioning.
- understand the fundamentals of database theory.
- use SQL to create, design, and manipulate SQL databases.
- extract data from a database writing your queries.
- create powerful professional visualizations in Tableau.
- combine SQL and Tableau to visualize data from the source.
- solve real-world business analysis tasks in SQL and Tableau.
The course includes:
- Introduction to Data and Data Science – Make sense of terms like business intelligence, traditional and big data, traditional statistical methods, machine learning, predictive analytics, supervised learning, unsupervised learning, and reinforcement learning.
- Statistics and Excel – Understand statistical testing and build a solid foundation. Modern software packages and programming languages are automating most of these activities, but this part of the course gives you something more valuable – critical thinking abilities.
- Database theory – Before you start using SQL, it is highly beneficial to learn about the underlying database theory and acquire an understanding of why databases are created and how they can help us manage data.
- SQL - when you can work with SQL, it means you do not have to rely on others sending you data and executing queries for you. You can do that on your own. This allows you to be independent and dig deeper into the data to obtain the answers to questions that might improve the way your company does its business.
- Tableau – one of the most powerful and intuitive data visualization tools available out there. Almost all large companies use such tools to enhance their BI capabilities. Tableau is the #1 best-in-class solution that helps you create powerful charts and dashboards.
You can take Become a Business Intelligence (BI) Analyst: The Complete Course Certification Course on Udemy.
3. Advanced Business Analytics
This course will share real-world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.
- Course rating: 4.4 out of 5.0 (4,464 Ratings total)
- Duration: 60 Hours
- Certificate: Certificate of completion
In this course, you will learn:
- develop skills and a perspective that will make you more productive faster.
- create models for decision making.
- basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions.
- form a solid foundation of predictive analytics.
What you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization. You will develop skills and a perspective that will make you more productive faster and allow you to become a valuable asset to your organization.
You will be introduced to some of the most widely used predictive modeling techniques and their core principles. You will learn to form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data.
You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business. You will also learn how to summarize and visualize datasets using plots so that you can present your results in a compelling and meaningful way.
You will learn how to create models for decision making. You will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions. You will learn how optimization can help you identify the best option.
You will learn how to communicate analytics results to stakeholders who do not understand the details of analytics but want evidence of analysis and data. You will be able to choose the right vehicles to present quantitative information, including those based on principles of data visualization. You will also learn how to develop and deliver data-analytics stories that provide context, insight, and interpretation.
You will analyze the data on financial loans to help with the investment decisions of an investment company. You will go through all typical steps of a data analytics project, including data understanding and cleanup, data analysis, and presentation of analytical results.
You can take the Advanced Business Analytics Certificate Course on Coursera.
4. Business and Data Analysis Skills
Learn key business management skills as well as tools and methods for analyzing data and presenting results.
- Course rating: 20,553 total enrollments
- Duration: 10.5 Hours
- Certificate: Certificate of completion
In this course, you will learn how to:
- use spreadsheet applications like Microsoft Excel to execute basic analyses.
- determine the most appropriate Excel functions for different tasks.
- calculate and analyze market size and market share.
- visualize and communicate data with charts and graphs.
- critically read visualized data.
- communicate different types of revenue, cost, and key profitability metrics.
This course will help you learn how to use a spreadsheet application (like Microsoft Excel) as a powerful analytical and communication tool. You will learn to perform real-world market and financial analyses and practice presenting your findings visually for maximum impact.
By the end of the course, you will be able to make data-driven decisions that help your organization grow and prosper.
You can take the Business and Data Analysis Skills Certification Course on Edx.
5. Business Statistics and Analysis
Learn Business Statistics and Analysis. The Business Statistics and Analysis course is designed to equip you with a basic understanding of business data analysis tools and techniques.
- Course rating: 4.8 out of 5.0 (11,683 Ratings total)
- Duration: 100 Hours
- Certificate: Certificate of completion
In this course, you will learn how to:
- use Excel spreadsheets and various basic data functions of Excel.
- understand, calculate, and interpret various descriptive or summary measures of data.
- apply various procedures such as dummy variable regressions, transforming variables, and interaction effects.
The course takes you from basic operations such as reading data into excel using various data formats, organizing and manipulating data, to some of the more advanced functionality of Excel. You will be introduced to the use of Excel spreadsheets and various basic data functions of Excel.
You will learn various Excel functions to organize and query data. You will also learn various data filtering capabilities of Excel and learn how to set filters in data to selectively access data.
You will be introduced to Business Statistics. It begins with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them.
You will be introduced to Confidence Intervals and Hypothesis Testing. You will first conceptually understand these tools and their business application. Then, you will be acquainted with introduce various calculations to constructing confidence intervals and to conduct different kinds of Hypothesis Tests.
You will be introduced to the very important tool known as Linear Regression. You will learn to apply various procedures such as dummy variable regressions, transforming variables, and interaction effects.
You can take the Business Statistics and Analysis Certificate Course on Coursera.
6. Business Analysis (BA) Fundamentals: Train to Be a Business Analyst
Set yourself up for success, learn the key business analysis concepts to thrive in your Business Analyst career.
- Course rating: 4.5 out of 5.0 (24,793 Ratings total)
- Duration: 8.5 Hours
- Certificate: Certificate of completion
In this course, you will learn:
- what a Business Analyst is, what they do, and how they do it.
- breakdown of six project methodologies including traditional Waterfall and Agile frameworks.
- how to properly initiate a project by creating a business case that aligns with the business objectives.
- the basics of project requirements and six of the popular techniques used to elicit those details from your stakeholders.
- gain an overview of various modeling diagrams to help you recognize and understand project documentation.
- conduct requirement specification - including categorizing, deriving (breaking apart), prioritizing, and validating.
- have the confidence to successfully facilitate requirements approval meetings.
You can take Business Analysis (BA) Fundamentals: Train to Be a Business Analyst Certificate Course on Udemy.
7. Business Analysis Foundations
Learn the foundations of business analysis. Explore the role of the business analyst and the BA process, from conducting a needs assessment to release planning.
- Course rating: 1,15,975 total enrollments
- Duration: 1.4 Hours
- Certificate: Certificate of completion
In this course, you will learn:
- the foundations of business analysis.
- the role of the business analyst and the BA process, from conducting a needs assessment to release planning.
This course provides an introduction to the foundations of business analysis. It helps demystify the role of the business analyst (BA), and outlines the knowledge and skills required to build a successful BA career.
The course also provides an in-depth review of the business analysis process, from conducting a needs assessment and identifying stakeholders to testing, validation, and release. Each lesson demonstrates why business analysis works and how you can use it to improve your organization.
You can take the Business Analysis Foundations Certification Course on LinkedIn.
8. Excel to MySQL: Analytic Techniques for Business
In this course, you will learn to frame business challenges as data questions. You will use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you will apply your skills to explore and justify improvements to a real-world business process.
- Course rating: 4.6 out of 5.0 (17,416 Ratings total)
- Duration: 112 Hours
- Certificate: Certificate of completion
In this course, you will learn how to:
- elicit information about important variables relevant to your analysis.
- draw upon your new MySQL database skills to extract relevant data from a real estate database.
- implement data analysis in Excel to identify the best opportunities for Watershed to increase revenue and maximize profits while managing any new risks.
- create a Tableau dashboard to show Watershed executives the results of a sensitivity analysis.
- articulate a significant and innovative business process change for Watershed based on your data analysis, that you will recommend to company executives.
You will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data. You will get a clear picture of the vital but different roles of business analysts, business data analysts, and data scientists each play in various types of companies.
You will know exactly what skills are required to be hired for, and succeed at, these high-demand jobs. You will understand why these companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies.
You will learn to calculate and apply to real-world examples the most important uncertainty measures used in business, including classification error rates, the entropy of information, and confidence intervals for linear regression.
You will learn how to become a master at communicating the business-relevant implications of data analyses. You will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders.
You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization program in the business world. Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly.
You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. This knowledge will help you understand how data needs to be collected in business contexts and help you identify features you want to consider if you are involved in implementing new data collection efforts.
You will also learn how to execute the most useful query and table aggregation statements for business analysts, and practice using them with real databases. No more waiting 48 hours for someone else in the company to provide data to you.
You can take Excel to MySQL: Analytic Techniques for Business Certificate Course on Coursera.
9. Business Analytics: Understanding and Using Confidence Intervals
Confidence intervals are a family of statistical techniques that show up, often in unexpected guises, in your personal and professional lives.
- Course ratings: 7,777 total enrollments
- Duration: 1 Hour
- Certificate: Certificate of completion
The course includes:
- The Use of Confidence Intervals
- Hypothesis Testing with Two Means
Whether you are looking at reference ranges on blood tests or the range of risk you assume when you enter a new line of business, confidence intervals enable you to summarize data in a way that pinpoints an outcome, while also considering a range of other possibilities for context—so it's helpful to understand what they mean and how they work.
This course discusses just that, sharing basic techniques for constructing and interpreting confidence intervals. It digs into the purpose of confidence intervals; how to calculate them (including how to do so using R and Excel); how to compare means using confidence intervals.
You can take Business Analytics: Understanding and Using Confidence Intervals Certificate Course on LinkedIn.
10. Strategic Business Analytics
Unveil Critical Insights. Start making efficient, profitable, data-driven business decisions.
- Course rating: 4.2 out of 5.0 (1,442 Ratings total)
- Duration: 40 Hours
- Certificate: Certificate of completion
In this business analytics certification course, you will learn:
- identify the possible applications of business analytics.
- how to present your analysis to stakeholders so your business can take action.
- about applications in a wide variety of sectors, including media, communications, public service.
- use statistical techniques in R to develop business intelligence insights.
You will engage in hands-on case studies in real business contexts: examples include predicting and forecasting events, statistical customer segmentation, and calculating customer scores and lifetime value. You will also learn how to take these analyses and effectively present them to stakeholders so your business can take action.
You will learn about applications in a wide variety of sectors, including media, communications, public service, etc. By the end of this module, you will be able to use statistical techniques in R to develop business intelligence insights and compellingly present them to enable smart and sustainable business decisions.
You can take the Strategic Business Analytics Certificate Course on Coursera.
11. Business Analytics for Data-Driven Decision Making
Learn how to lead your firm to make better business decisions using analytic methods and create competitive advantages from data.
- Course rating: 42,543 total enrollments
- Duration: 40 Hours
- Certificate: Certificate of completion
In this course, you will learn:
- key analytic technologies and techniques, e.g. predictive modeling and machine learning, and how these can play a role in managerial decision making.
- how to effectively manage the analytical processes and use the results of these processes as the basis for making informed, evidence-based decisions.
- how companies can use analytics as to the basis for creating value.
You will learn the tools and techniques to become a data-driven or "evidence-based" manager.
You will learn the process of reframing a business question as a data question, reasoning about what data might be of assistance and how to obtain it, integrating and cleaning the data, performing the analysis, deriving and communicating insights from the analysis, and building the managerial culture to operate in this way and create competitive advantages from enterprise data.
You can take Business Analytics for Data-Driven Decision Making Certificate Course on Edx.
12. Business Analyst Course for Beginners
Get the foundation in business analysis you need to solve your organization's biggest problems.
- Course rating: 4.5 out of 5.0 (7,064 Ratings total)
- Duration: 6 Hours
- Certificate: Certificate of completion
In this course, you will learn how to:
- understand the foundations of business analysis.
- gather requirements from stakeholders and documentary sources.
- analyze, diagram, and model requirements.
- present requirements effectively and gain acceptance.
- manage requirements assets after the project is complete.
The course includes:
1. What is Business Analysis
- Overview of Business Analysis
- Overview of Requirements
- Role of the Business Analyst
2. What is Stakeholders
- Who are they? And why do they matter?
- The most common stakeholders: The project team, management, and the front line
- Handling Stakeholder Conflicts
3. Life Cycles
- Systems Development Life Cycles
- Project Life Cycles
- Product Life Cycles
- Requirement Life Cycles
- Seventh Morning's Requirements Development Life Cycle
4. Forming Requirements
- Overview of Requirements
- Attributes of Good Requirements
- Types of Requirements
- Requirement Sources
- Gathering Requirements from Stakeholders
- Common Requirements Documents
5. Transforming Requirements
- Stakeholder Needs Analysis
- Decomposition Analysis
- Additive/Subtractive Analysis
- Gap Analysis
- Notations (UML & BPMN)
- Flowcharts
- Swim Lane Flowcharts
- Entity-Relationship Diagrams
- State-Transition Diagrams
- Data Flow Diagrams
- Use Case Modeling
- Business Process Modeling
6. Finalizing Requirements
- Presenting Requirements
- Socializing Requirements and Gaining Acceptance
- Prioritizing Requirements
7. Managing Requirements Assets
- Change Control
- Requirements Tools
You can take the Business Analyst Course for Beginners Certificate Course on Udemy.
13. Business Analytics Online Course
Gain data skills applicable to any industry. Collect and analyze data, model scenarios, and communicate your findings.
- Course rating: 4.7 out of 5.0 (1,050 Ratings total)
- Duration: 120 Hours
- Certificate: Certificate of completion
In this course, you will learn how to:
- people use data to answer questions and find your insights from a data dashboard.
- how to use statistics and visuals to find and communicate insights.
- develop Excel skills to manipulate, analyze, and visualize data in a spreadsheet.
- build Excel models to analyze possible business outcomes.
- use Structured Query Language (SQL) to extract and analyze data stored in databases.
- apply design and visualization principles to create impactful data visualizations.
- build data dashboards.
You will learn the foundational data skills that apply across functions and industries. Learn how to analyze data and build models with Excel, query databases using SQL, and create informative data visualizations with Tableau.
You can take the Business Analytics certification on Udacity.
14. Introduction to Business Analytics
Learn the basics of business analytics. Discover tools and techniques for collecting, tracking, analyzing, and making data-informed decisions with your organization’s data.
- Course rating: 10,132 total enrollments
- Duration: 1.3 Hours
- Certificate: Certificate of completion
In this course, you will learn:
- learn the basics of business analytics.
- discover tools and techniques for collecting.
- tracking, analyzing, and making data-informed decisions with your organization’s data.
This course is a basic introduction that lays out the foundations of analytics in an easy-to-understand and engaging manner. It explains why data is so powerful, what insights really matter, and how to use common analysis tools and techniques.
Additionally, the course explores data source maps, database management, and all the various data sources that may be encountered. By the end of the course, you should have the skills necessary to start collecting, tracking, and analyzing a variety of data, including sales, marketing, and psychographic metrics.
You can take Introduction to Business Analytics Certificate Course on LinkedIn.
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