Best Business Analytics Courses to Learn in April 2025
Looking to enhance your skills? We’ve curated a list of the top-rated business analytics courses available this month. These courses are highly rated by students and offer comprehensive learning experiences.
10. Business and Data Analytics in Python
Instructor: Dr. Giancarlo Crocetti
Mastering Data-Driven Insights and become a Business Analytics Practitioner
Course Highlights:
- Rating: 4.64 ⭐ (40 reviews)
- Students Enrolled: 391
- Course Length: 99424 hours
- Number of Lectures: 187
- Number of Quizzes: 10
Business and Data Analytics in Python, has an average rating of 4.64, with 187 lectures, 10 quizzes, based on 40 reviews, and has 391 subscribers.
You will learn about Master Business Analytics Basics: Understand fundamental concepts and data-driven decision-making techniques. Python Proficiency: Gain skills in Python for data analysis with key libraries like Pandas and NumPy. Statistical Decision Making: Learn inferential statistics to support business insights. Econometrics & Regression: Master econometric models and regression analysis for predicting outcomes. Time-Series Analysis: Acquire forecasting skills using Python for economic and business trends. Customer Segmentation: Analyze customer behavior and market segments for targeted strategies. Cultivate a Data-Driven Mindset: Develop critical thinking for data interpretation and decision-making. Real-World Data Practice: Apply business analytics techniques to industry-specific datasets. High Academic Quality: Experience content and methods at the level of graduate classes in U.S. universities. Career Preparation: Equip yourself for roles in business analytics with in-demand skills and knowledge. This course is ideal for individuals who are Aspiring Data Analysts and Business Analysts: Beginners or those transitioning from other fields who want to build a career in data analytics or business analytics. or Professionals in Business and Finance: Individuals in business, finance, marketing, or related fields seeking to enhance their decision-making with data-driven insights. or Entrepreneurs and Small Business Owners: Those looking to leverage data to make informed decisions, understand market trends, and drive business growth. or Business Managers in Analytical Departments: Managers and supervisors looking to deepen their analytical capabilities to drive decision-making and strategy. or Students in Business, Economics, or IT: Undergraduates or postgraduates desiring to enhance their academic knowledge with practical analytics and Python skills. or IT Professionals and Software Developers: Those looking to expand their skills into business analytics to support data-driven projects or transition into analytics roles. or Curious Learners: Anyone interested in applying Python to tackle real-world business challenges and to inform decisions with data. It is particularly useful for Aspiring Data Analysts and Business Analysts: Beginners or those transitioning from other fields who want to build a career in data analytics or business analytics. or Professionals in Business and Finance: Individuals in business, finance, marketing, or related fields seeking to enhance their decision-making with data-driven insights. or Entrepreneurs and Small Business Owners: Those looking to leverage data to make informed decisions, understand market trends, and drive business growth. or Business Managers in Analytical Departments: Managers and supervisors looking to deepen their analytical capabilities to drive decision-making and strategy. or Students in Business, Economics, or IT: Undergraduates or postgraduates desiring to enhance their academic knowledge with practical analytics and Python skills. or IT Professionals and Software Developers: Those looking to expand their skills into business analytics to support data-driven projects or transition into analytics roles. or Curious Learners: Anyone interested in applying Python to tackle real-world business challenges and to inform decisions with data.
Learn More About Business and Data Analytics in Python
What You Will Learn
- Master Business Analytics Basics: Understand fundamental concepts and data-driven decision-making techniques.
- Python Proficiency: Gain skills in Python for data analysis with key libraries like Pandas and NumPy.
- Statistical Decision Making: Learn inferential statistics to support business insights.
- Econometrics & Regression: Master econometric models and regression analysis for predicting outcomes.
- Time-Series Analysis: Acquire forecasting skills using Python for economic and business trends.
- Customer Segmentation: Analyze customer behavior and market segments for targeted strategies.
- Cultivate a Data-Driven Mindset: Develop critical thinking for data interpretation and decision-making.
- Real-World Data Practice: Apply business analytics techniques to industry-specific datasets.
- High Academic Quality: Experience content and methods at the level of graduate classes in U.S. universities.
- Career Preparation: Equip yourself for roles in business analytics with in-demand skills and knowledge.
9. Business Data Analytics (IIBA®-CBDA Exam prep, 14 IIBA PDUs)
Instructor: Igor Arkhipov | Analyst’s corner
IIBA® endorsed course. Learn how to apply analysis skills on data projects and prepare for an IIBA®-CBDA certification
Course Highlights:
- Rating: 4.53 ⭐ (630 reviews)
- Students Enrolled: 4155
- Course Length: 27786 hours
- Number of Lectures: 78
- Number of Quizzes: 8
Business Data Analytics (IIBA®-CBDA Exam prep, 14 IIBA PDUs), has an average rating of 4.53, with 78 lectures, 8 quizzes, based on 630 reviews, and has 4155 subscribers.
You will learn about 14 IIBA PDUs (7,5 hours of video + 6,5 hours of reading, tests, and exercises) What is business data analytics Defining research questions Collecting data Performing analysis Interpreting the results of analysis Influencing decision making Scaling analytics capability This course is ideal for individuals who are Business analysts working on data analytics initiatives or Project managers managing data projects or Line managers managing data teams or Anyone preparing for IIBA®-CBDA exam It is particularly useful for Business analysts working on data analytics initiatives or Project managers managing data projects or Line managers managing data teams or Anyone preparing for IIBA®-CBDA exam.
Learn More About Business Data Analytics (IIBA®-CBDA Exam prep, 14 IIBA PDUs)
What You Will Learn
- 14 IIBA PDUs (7,5 hours of video + 6,5 hours of reading, tests, and exercises)
- What is business data analytics
- Defining research questions
- Collecting data
- Performing analysis
- Interpreting the results of analysis
- Influencing decision making
- Scaling analytics capability
8. The Data Science Course: Complete Data Science Bootcamp 2025
Instructor: 365 Careers
Complete Data Science Training: Math, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning
Course Highlights:
- Rating: 4.59 ⭐ (151449 reviews)
- Students Enrolled: 750330
- Course Length: 112585 hours
- Number of Lectures: 553
- Number of Quizzes: 277
The Data Science Course: Complete Data Science Bootcamp 2025, has an average rating of 4.59, with 553 lectures, 277 quizzes, based on 151449 reviews, and has 750330 subscribers.
You will learn about The course provides the entire toolbox you need to become a data scientist Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow Impress interviewers by showing an understanding of the data science field Learn how to pre-process data Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!) Start coding in Python and learn how to use it for statistical analysis Perform linear and logistic regressions in Python Carry out cluster and factor analysis Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn Apply your skills to real-life business cases Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data Unfold the power of deep neural networks Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations This course is ideal for individuals who are You should take this course if you want to become a Data Scientist or if you want to learn about the field or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills It is particularly useful for You should take this course if you want to become a Data Scientist or if you want to learn about the field or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills.
Learn More About The Data Science Course: Complete Data Science Bootcamp 2025
What You Will Learn
- The course provides the entire toolbox you need to become a data scientist
- Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
- Impress interviewers by showing an understanding of the data science field
- Learn how to pre-process data
- Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
- Start coding in Python and learn how to use it for statistical analysis
- Perform linear and logistic regressions in Python
- Carry out cluster and factor analysis
- Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
- Apply your skills to real-life business cases
- Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
- Unfold the power of deep neural networks
- Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
- Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations
7. Microsoft Excel for Data & Business Analytics
Instructor: Rahim Zulfiqar Ali
Microsoft Excel Course for Data and Business Analytics (Basic to Advanced)
Course Highlights:
- Rating: 4.6 ⭐ (571 reviews)
- Students Enrolled: 3790
- Course Length: 101503 hours
- Number of Lectures: 124
- Number of Quizzes: 2
Microsoft Excel for Data & Business Analytics, has an average rating of 4.6, with 124 lectures, 2 quizzes, based on 571 reviews, and has 3790 subscribers.
You will learn about Our Excel course is designed to take you from zero to hero so you can confidently list 'Advanced Excel Skills' on your resume/CV Dashboard Reporting in Excel with Tips Advanced Excel – More Scenario Examples, Data Analysis, Pivot Table Modern Excel – DAX and Power Query Wow your boss by unlocking dynamic formulas with IF, VLOOKUP, INDEX, MATCH functions and many more Create dynamic reports by mastering one of the most popular tools, PivotTables This course is ideal for individuals who are Students looking for an engaging, hands-on, and highly interactive approach to Excel analytics training or Students who want to make sure they have the Excel knowledge to succeed at their next job. or Data analysts looking to discover new tools to help them do more in less time. It is particularly useful for Students looking for an engaging, hands-on, and highly interactive approach to Excel analytics training or Students who want to make sure they have the Excel knowledge to succeed at their next job. or Data analysts looking to discover new tools to help them do more in less time.
Learn More About Microsoft Excel for Data & Business Analytics
What You Will Learn
- Our Excel course is designed to take you from zero to hero so you can confidently list 'Advanced Excel Skills' on your resume/CV
- Dashboard Reporting in Excel with Tips
- Advanced Excel – More Scenario Examples, Data Analysis, Pivot Table
- Modern Excel – DAX and Power Query
- Wow your boss by unlocking dynamic formulas with IF, VLOOKUP, INDEX, MATCH functions and many more
- Create dynamic reports by mastering one of the most popular tools, PivotTables
6. Business Analysis Fundamentals – ECBA, CCBA, CBAP endorsed
Instructor: The BA Guide | Jeremy Aschenbrenner
Set yourself up for success and learn the key business analysis concepts to thrive in your Business Analyst career!
Course Highlights:
- Rating: 4.53 ⭐ (63303 reviews)
- Students Enrolled: 232664
- Course Length: 27005 hours
- Number of Lectures: 67
- Number of Quizzes: 3
Business Analysis Fundamentals – ECBA, CCBA, CBAP endorsed, has an average rating of 4.53, with 67 lectures, 3 quizzes, based on 63303 reviews, and has 232664 subscribers.
You will learn about Business Analysis basics – learn what a Business Analyst is, what they do, and how they do it A breakdown of six project methodologies including traditional Waterfall and Agile frameworks Learn how to properly initiate a project by creating a business case that aligns with the business objectives Understand 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 This course is ideal for individuals who are Aspiring Business Analysts – including recent college graduates and those looking to make a career change. or New Business Analysts wanting to improve their craft or Other positions that are performing business analysis duties such as administrators, managers, and project leads. or Those going for their ECBA certification – this course is qualifies for 9 hours of Professional Development It is particularly useful for Aspiring Business Analysts – including recent college graduates and those looking to make a career change. or New Business Analysts wanting to improve their craft or Other positions that are performing business analysis duties such as administrators, managers, and project leads. or Those going for their ECBA certification – this course is qualifies for 9 hours of Professional Development.
Learn More About Business Analysis Fundamentals – ECBA, CCBA, CBAP endorsed
What You Will Learn
- Business Analysis basics – learn what a Business Analyst is, what they do, and how they do it
- A breakdown of six project methodologies including traditional Waterfall and Agile frameworks
- Learn how to properly initiate a project by creating a business case that aligns with the business objectives
- Understand 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
5. Complete Data Analyst Bootcamp From Basics To Advanced
Instructor: Krish Naik
Master Data Analysis: Python, Statistics, EDA, Feature Engineering, Power BI, and SQL Server,Snowflake,AWS
Course Highlights:
- Rating: 4.54 ⭐ (4881 reviews)
- Students Enrolled: 28921
- Course Length: 256844 hours
- Number of Lectures: 407
- Number of Quizzes: 0
Complete Data Analyst Bootcamp From Basics To Advanced, has an average rating of 4.54, with 407 lectures, based on 4881 reviews, and has 28921 subscribers.
You will learn about Learn how to efficiently manipulate, analyze, and visualize data using Python and its powerful libraries such as Pandas, NumPy, Matplotlib, and Seaborn. Develop the skills to retrieve, manipulate, and aggregate data using SQL. You'll work with SQL Server to manage complex databases and execute advanced queries. Discover how to perform EDA to uncover insights, identify patterns, and prepare data for further analysis through effective data visualization Learn to build interactive and insightful dashboards using Power BI, applying DAX for complex calculations, and integrating real-world data to produce reports This course is ideal for individuals who are Individuals looking to start a career in data analysis and gain a comprehensive skill set from the ground up. or Professionals from other fields who want to transition into data analysis and need a structured, all-inclusive learning path. or Those pursuing degrees in fields like computer science, statistics, business, or related areas who want to enhance their job prospects with practical, industry-relevant skills. or Anyone with an interest in data, who wants to learn how to analyze, visualize, and make data-driven decisions, whether for professional development or personal projects. or Individuals already in the data industry or related fields who wish to sharpen their skills, learn new tools like Python, SQL, and Power BI, and take on more advanced data analysis tasks. It is particularly useful for Individuals looking to start a career in data analysis and gain a comprehensive skill set from the ground up. or Professionals from other fields who want to transition into data analysis and need a structured, all-inclusive learning path. or Those pursuing degrees in fields like computer science, statistics, business, or related areas who want to enhance their job prospects with practical, industry-relevant skills. or Anyone with an interest in data, who wants to learn how to analyze, visualize, and make data-driven decisions, whether for professional development or personal projects. or Individuals already in the data industry or related fields who wish to sharpen their skills, learn new tools like Python, SQL, and Power BI, and take on more advanced data analysis tasks.
Learn More About Complete Data Analyst Bootcamp From Basics To Advanced
What You Will Learn
- Learn how to efficiently manipulate, analyze, and visualize data using Python and its powerful libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
- Develop the skills to retrieve, manipulate, and aggregate data using SQL. You'll work with SQL Server to manage complex databases and execute advanced queries.
- Discover how to perform EDA to uncover insights, identify patterns, and prepare data for further analysis through effective data visualization
- Learn to build interactive and insightful dashboards using Power BI, applying DAX for complex calculations, and integrating real-world data to produce reports
4. Business Analyst Bootcamp: Excel, Stats, SQL, Tableau
Instructor: Leo Zhu
30+ Data Analysis, Business Intelligence, and Decision Making Exercises for Agile Business Analytics
Course Highlights:
- Rating: 4.53 ⭐ (619 reviews)
- Students Enrolled: 2662
- Course Length: 84677 hours
- Number of Lectures: 95
- Number of Quizzes: 4
Business Analyst Bootcamp: Excel, Stats, SQL, Tableau, has an average rating of 4.53, with 95 lectures, 4 quizzes, based on 619 reviews, and has 2662 subscribers.
You will learn about Excel: Mine data and generate actionable insights with Pivot Tables, Lookup Functions, Index/Match, and Graphs Excel: Create machine learning model and make predictions with Analysis Toolpak SQL: Understanding the data life cycle and how data moves from a pipeline into a data warehouse/lake SQL: Query, clean, and prepare data for analysis and real-time reporting Tableau: Create visualizations and dashboards to communicate data insights Tableau: Storytelling technical information to executives and business stakeholders This course is ideal for individuals who are University/College students who want to enter the workforce as a business analyst or prepare for a course or Experienced professionals who want to improve data literacy, implement agile practices, or do a career pivot or Small business owners who want to implement data-drive decision making in their operations or Businesses looking to enrol new business analysts in a data training bootcamp It is particularly useful for University/College students who want to enter the workforce as a business analyst or prepare for a course or Experienced professionals who want to improve data literacy, implement agile practices, or do a career pivot or Small business owners who want to implement data-drive decision making in their operations or Businesses looking to enrol new business analysts in a data training bootcamp.
Learn More About Business Analyst Bootcamp: Excel, Stats, SQL, Tableau
What You Will Learn
- Excel: Mine data and generate actionable insights with Pivot Tables, Lookup Functions, Index/Match, and Graphs
- Excel: Create machine learning model and make predictions with Analysis Toolpak
- SQL: Understanding the data life cycle and how data moves from a pipeline into a data warehouse/lake
- SQL: Query, clean, and prepare data for analysis and real-time reporting
- Tableau: Create visualizations and dashboards to communicate data insights
- Tableau: Storytelling technical information to executives and business stakeholders
3. Introduction to Business Analytics
Instructor: 365 Careers
How to Build a Profitable and Winning Company Using Business Analytics
Course Highlights:
- Rating: 4.54 ⭐ (5986 reviews)
- Students Enrolled: 24656
- Course Length: 17085 hours
- Number of Lectures: 55
- Number of Quizzes: 7
Introduction to Business Analytics, has an average rating of 4.54, with 55 lectures, 7 quizzes, based on 5986 reviews, and has 24656 subscribers.
You will learn about Acquire business acumen Build a strategic plan of how your business (or your employer's business) can leverage data for superior performance Be able to understand how to measure business performance Learn from a professional with a proven track record and valuable experience Become familiar with modern business analytics techniques Understand stakeholder mapping Learn about end-to-end process mapping Develop an understanding of the H2R, R2R, S2P , O2C end-to-end processes in a corporation Identify key value drivers Compare metrics vs KPIs Define metrics Perform benchmarking Learn about the imoprtance of the Master Data function Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis Acquire an understanding of how to manage an analytics project Gain an understanding of what makes for a successful analytics project This course is ideal for individuals who are People who want a successful career in Business or Business executives or Ambitious managers or Individuals who want to start their own company, but have not had the necessary business training or Business intelligence analysts or Financial analysts or Anyone who wants to understand how to measure business performance It is particularly useful for People who want a successful career in Business or Business executives or Ambitious managers or Individuals who want to start their own company, but have not had the necessary business training or Business intelligence analysts or Financial analysts or Anyone who wants to understand how to measure business performance.
Learn More About Introduction to Business Analytics
What You Will Learn
- Acquire business acumen
- Build a strategic plan of how your business (or your employer's business) can leverage data for superior performance
- Be able to understand how to measure business performance
- Learn from a professional with a proven track record and valuable experience
- Become familiar with modern business analytics techniques
- Understand stakeholder mapping
- Learn about end-to-end process mapping
- Develop an understanding of the H2R, R2R, S2P , O2C end-to-end processes in a corporation
- Identify key value drivers
- Compare metrics vs KPIs
- Define metrics
- Perform benchmarking
- Learn about the imoprtance of the Master Data function
- Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis
- Acquire an understanding of how to manage an analytics project
- Gain an understanding of what makes for a successful analytics project
2. Business Analysis “A to Z” Masterclass
Instructor: Meetul Patel
We don’t teach. We job Train!
Course Highlights:
- Rating: 4.59 ⭐ (8301 reviews)
- Students Enrolled: 39449
- Course Length: 111379 hours
- Number of Lectures: 25
- Number of Quizzes: 0
Business Analysis "A to Z" Masterclass, has an average rating of 4.59, with 25 lectures, based on 8301 reviews, and has 39449 subscribers.
You will learn about Business Analysis Fundamentals- Understand the term "Business Analysis'", the role of a Business Analyst as well as System Development Life Cycle (SDLC) Requirement Gathering Techniques- Via live simulation of requirement gathering session, understand how to gather requirements from Subject Matter Experts Hands On Learning: Creating Requirements Documents- Learn how to document BRD (Business Requirements Document), FRD (Functional Requirements Document), Use Case & User Story Hands On Learning: Creating Wireframes (Screen-Mock Ups) & Prototypes: Learn how to document User Interface requirements by creating wireframes, prototypes and documenting UI specification Learn Software Engineering Processes: Learn Agile Scrum Process, Waterfall Methodology & RUP (Rational Unified Process) Hands On Learning: Documenting User Stories Hands On Learning: UML (Unified Modeling Language)- Learn how to create Use Case Diagram, Activity Diagrams & State Diagrams Hands On Learning: Business Analyst Softwares: Hand-on learning the following softwares: Jira, Rally, Microsoft Visio, Axure, Rational Requisite Pro, Enterprise Architect Bonus Learning: Manual Testing- Learn how to create test cases, conduct manual testing, create defects, conduct bug triages and co-ordinate UAT (User Acceptance Testing) Case Studies- Real time case studies from Finance, Insurance, Retail/eCommerce & Airlines Industries Understand Traceability and advantages of Traceability Matrix, Business Analyst role recap. Real Time Business Analyst Interview Simulation Real Time Business Architect Interview Simulation This course is ideal for individuals who are Anyone and everyone looking for a career change or Recent college graduates or Business Analyst aspirants It is particularly useful for Anyone and everyone looking for a career change or Recent college graduates or Business Analyst aspirants.
Learn More About Business Analysis "A to Z" Masterclass
What You Will Learn
- Business Analysis Fundamentals- Understand the term "Business Analysis'", the role of a Business Analyst as well as System Development Life Cycle (SDLC)
- Requirement Gathering Techniques- Via live simulation of requirement gathering session, understand how to gather requirements from Subject Matter Experts
- Hands On Learning: Creating Requirements Documents- Learn how to document BRD (Business Requirements Document), FRD (Functional Requirements Document), Use Case & User Story
- Hands On Learning: Creating Wireframes (Screen-Mock Ups) & Prototypes: Learn how to document User Interface requirements by creating wireframes, prototypes and documenting UI specification
- Learn Software Engineering Processes: Learn Agile Scrum Process, Waterfall Methodology & RUP (Rational Unified Process)
- Hands On Learning: Documenting User Stories
- Hands On Learning: UML (Unified Modeling Language)- Learn how to create Use Case Diagram, Activity Diagrams & State Diagrams
- Hands On Learning: Business Analyst Softwares: Hand-on learning the following softwares: Jira, Rally, Microsoft Visio, Axure, Rational Requisite Pro, Enterprise Architect
- Bonus Learning: Manual Testing- Learn how to create test cases, conduct manual testing, create defects, conduct bug triages and co-ordinate UAT (User Acceptance Testing)
- Case Studies- Real time case studies from Finance, Insurance, Retail/eCommerce & Airlines Industries
- Understand Traceability and advantages of Traceability Matrix, Business Analyst role recap.
- Real Time Business Analyst Interview Simulation
- Real Time Business Architect Interview Simulation
1. The Business Intelligence Analyst Course 2025
Instructor: 365 Careers
The skills you need to become a BI Analyst – Statistics, Database theory, SQL, Tableau – Everything is included
Course Highlights:
- Rating: 4.58 ⭐ (47198 reviews)
- Students Enrolled: 245153
- Course Length: 79772 hours
- Number of Lectures: 467
- Number of Quizzes: 268
The Business Intelligence Analyst Course 2025, has an average rating of 4.58, with 467 lectures, 268 quizzes, based on 47198 reviews, and has 245153 subscribers.
You will learn about 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 Discover how to 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 own 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 This course is ideal for individuals who are Beginners to programming and data science or Students eager to learn about job opportunities in the field of data science or Candidates willing to boost their resume by learning how to combine the knowledge of Statistics, SQL, and Tableau in a real-world working environment or SQL Programmers who want to develop business reasoning and apply their knowledge to the solution of various business tasks or People interested in a Business Intelligence Analyst career It is particularly useful for Beginners to programming and data science or Students eager to learn about job opportunities in the field of data science or Candidates willing to boost their resume by learning how to combine the knowledge of Statistics, SQL, and Tableau in a real-world working environment or SQL Programmers who want to develop business reasoning and apply their knowledge to the solution of various business tasks or People interested in a Business Intelligence Analyst career.
Learn More About The Business Intelligence Analyst Course 2025
What You Will Learn
- 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
- Discover how to 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 own 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
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