Business intelligence courses and certification from leading online "university", elearningCurve.com
Elevate Your Knowledge with Data Analytics Certification
eLearningCurve is the premier online "university" for data management professionals
Look no further than eLearningCurve, a top-tier provider of online education programs. With business intelligence courses designed to cater to a global audience, eLearningCurve offers comprehensive programs in various disciplines of information management.
Do you need to know How Long Business Intelligence Courses Take? Build a training plan that works for your schedule with our guide.
Business intelligence Courses and Certification
World-Class Content from Leading Instructors
At eLearningCurve, we understand the value of quality education. That's why we have carefully selected leading instructors to deliver relevant content to our students. Our BI courses are designed to deliver maximum educational value, providing learners with the knowledge they need to succeed in their chosen fields.
Cutting-Edge Delivery System for Optimal Learning
eLearningCurve's online courses are delivered through a cutting-edge platform designed to provide the best learning experience possible. The platform is accessible from any location, at any time, allowing you to learn at your own pace. Whether you prefer to study on the go or from the comfort of your own home, eLearningCurve provides the flexibility you need to succeed.
Low bandwidth option
eLearningCurve'spresents content in HTML5. The courses run as presentations in a web browser and allow the student to pause, resume, start over and skip ahead in a very flexible manner. With no dependency on video, bandwidth and connectivity requirements are light, making elearningCurve content accessible even if your Internet access is constrained.
Unmatched Flexibility and Convenience
With eLearningCurve, you have the power to customize your learning experience. The business intelligence courses are engineered to provide maximum flexibility, allowing you to study when and where you want. Whether you're a busy professional or a full-time student, our courses are designed to fit your schedule. Additionally, our platform allows you to revisit course material as many times as you need to ensure maximum information comprehension and retention.
Choose eLearningCurve for Your Business Intelligence courses
Whether you're looking to expand your knowledge of information management or take your career to the next level, eLearningCurve is a perfect choice. With world-class content from leading instructors, a cutting-edge delivery system, and unmatched flexibility and convenience, we are committed to delivering the best online education experience possible.
Sign up today and see for yourself why eLearningCurve is the preferred choice for thousands of professionals worldwide.
"The courses have really been an eye-opener and I learnt how I can make them practical in my organization."
Diana Mongula
Senior Manager, Data Management and Analytics - NMB Bank
Build BI competence with DAC accreditation
3000+CIMP professionals and organisations from more than 70 countries trust eLearningCurve to further their business intelligence education needs.
The Certified Information Management Professional (CIMP) or Data Analysis Certified (DAC) designation makes a clear statement that you have learned from the industry leaders and have demonstrated a thorough understanding of your chosen information management discipline by passing several challenging exams.
"eLearningCurve's course authors and instructors are also practitioners. They go beyond theory and academics to enrich the courses with examples, case studies, and storytelling about their experience in the field"
Comprehensive training for Data Analysis Professionals
eLearningCurve's curriculum of over 80 courses offers something for everyone, from the knowledge worker that needs to improve basic data literacy, to the business person who is now also a data steward, to business intelligence developers or data scientists that are looking to build and certify their professional skills.
elearningCurve Training is:
Cost-effective:
eLearningCurve takes pride in presenting instructional material from some of the most sought-after names in the industry. If you have been to any big, international data related conference or checked an information management bookshelf you will recognize many of these experts, corporate training gurus, and top consultants.
With eLearningCurve you can benefit from their expertise without paying an arm and a leg. Download the pricelist or talk to us for a package tailored to your enterprise need.
Customizable content:
Each track is built around a Fundamentals course to ensure that the team is working from the same foundation. You can then tailor your curriculum to your interests by selecting 4, or more, electives from our program of 10+ courses in each track.
Practical
Our instructors are active practitioners that work day to day in the field to solve data management problems. While the business intelligence course content is not targeted towards specific tools, wherever possible we share practical approaches and tips. Examinations are designed to test the ability to apply the knowledge shared, rather than a pure test of theory.
Up-to-date knowledge:
Our courses range from fundamentals to advanced topics for seasonal professionals.
New courses are developed and released on an on-going basis, while existing material is updated as required. Updated content is made available free of charge to persons that have already completed a course.
If you want to test your knowledge, we offer online exams for all BI courses. Exams are a great way to gauge your comprehension of course material, get feedback on your progress, and identify areas for further review.
Certification:
Certification is a useful tool for job seekers and employers seeking to hire the most qualified people.
eLearningCurve offers a robust certification program, Data Analysis Certified (DAC), that builds upon education to certify knowledge and understanding of data analysis
Enterprise Training Programs
Today more than ever companies are watching expenses and looking for ways to streamline processes, make training convenient, and create a consistent learning environment.
Enterprise Programs are a flexible, convenient and cost-effective way to train your employees and ensure that all team members have access to the business intelligence courses they need when they need them.
Get the PriceList
Are you looking to improve your data analysis skills in South Africa? Whether you're just starting out or have years of experience, online data analytics courses are available to help you stay up-to-date with the latest techniques and tools. Our list of the top data analytics courses in South Africa is a great start for anyone looking to understand the potential of data analytics and take their performance as business intelligence professionals to the next level.
If you are just kickstarting your data analytics career, read our guide on What you Need to Learn for Business Intelligence!
Certify in Business Analytics
By completing this curriculum, and passing our challenging exams, you will achieve Certified Information Management Professional (CIMP) accreditation in Business Analytics, joining several thousand other experts worldwide.
Data Analytics courses in South Africa
Analytics Fundamentals
Analytics has become a ubiquitous term in today's world, impacting nearly every aspect of our lives. From boardrooms and strategy sessions to social media management and personal fitness tracking, analytics has transformed the way we think and act. In the business world, analytics offers significant potential for organizations to gain a competitive edge, make informed decisions, and achieve positive outcomes. However, to harness this potential, data analysts must have a clear understanding of the many components that work together to drive success.
The key to success with analytics lies in the ability to seamlessly integrate data, technology, people, and processes. This is where a comprehensive guide to analytics comes in handy. With a strong foundation in analytics, businesses can develop a strategic roadmap that leverages analytics to drive success.
Our 6-hour online course is designed to provide a comprehensive overview of the scope and key success factors of business analytics.
This course covers all the essential concepts and terminology required to understand the world of analytics. We start by discussing the scope of analytics and providing a frame of reference for the topics that follow.
Business analytics is then introduced and made tangible through real-world industry use cases and functional examples. In exploring data analytics, we provide a detailed understanding of the information building blocks necessary to enable business analytics applications. Additionally, we describe the breadth of analytics possibilities using a capabilities framework, positioning a wide range of algorithms and modelling techniques.
This course is geared towards working professionals that have an interest in understanding the possibilities and challenges of analytics.
Data Science Fundamentals
Data science has evolved into a cross-functional discipline that serves a critical role in extracting valuable insights from diverse data sources. While the definition of data science may seem straightforward, success in this field requires a deeper understanding of the building blocks that drive it. Effective data science involves collaboration between related workgroups to create a meaningful impact.
For companies to compete in analytics and become data-driven, effective data science is a must. This course is designed for beginners who want to learn the basics of data science.
It provides a comprehensive introduction to the core principles and concepts of data science, laying a solid foundation of understanding. We explore data science in terms of its purpose, capabilities, techniques, approaches, and skills.
To gain a deeper understanding of data science, we also explore its dependencies on other disciplines and how it enables value creation within the broader data-driven ecosystem. By providing a comprehensive overview of data science, this course equips learners with the necessary knowledge and skills to drive data-driven decision-making in their organizations.
This course is geared towards working professionals that have an interest in understanding the capabilities, opportunities and challenges offered by data science
Fundamentals of Predictive Analytics
While business metrics provide a useful summary of past performance, they fall short when it comes to predicting how customers will respond in the future. That's where predictive analytics comes in. By leveraging your vast historical data, predictive analytics goes beyond standard reports and forecasts, offering actionable predictions for each customer. This includes all channels, online and offline, allowing you to foresee which customers will buy, click, respond, convert, or cancel. By predicting customer behaviour, you can own it.
The customer predictions generated by predictive analytics provide more relevant content to each customer, resulting in improved response rates, click rates, buying behaviour, retention, and overall profit. For online applications such as e-marketing and customer care recommendations, predictive analytics acts in real-time, dynamically selecting the ad, web content, or cross-sell product that each visitor is most likely to click on or respond to, based on their unique profile.
This online training course takes you from fundamentals and best practices to hands-on discussions of predictive analytics models and their applications. You will gain a deep understanding of how predictive analytics works, how to apply it to real-world scenarios, and how to use it to drive results for your organization.
Whether you're a marketer, business leader, or data analyst, this course will equip you with the skills and knowledge needed to unlock the power of predictive analytics.
Enrol now and start transforming your customer data into actionable insights that drive growth and profitability.
Data Mining Concepts and Techniques
Data mining has been around for some time, but it has re-emerged as a critical discipline in recent years due to the rise of Big Data. Originally, data mining was developed to help researchers tackle the challenges posed by new data sets. Today, data mining has evolved into a critical component of data science.
This online course provides an overview of both data mining and data science, including the concepts, processes, and techniques used in each area. You'll gain insight into the data mining process, including how to identify and prepare data, select the right models and algorithms, and evaluate results.
The course also covers the latest developments in data mining, including how to leverage Big Data for improved results. You'll learn about the different types of data mining models and how to match them to specific problems.
The course assumes a basic understanding of undergraduate statistics, data types, databases, and data management concepts and is geared towards BI analysts looking to gain a foundational understanding of data mining and its applications.
Enrol now and discover the power of data mining and data science for Big Data.
Data Mining in R
For those who already have a basic understanding of data analysis and want to take their skills to the next level, this online course in South Africa is perfect.
It focuses on using the programming language R to perform advanced data analysis techniques.
This online training course will show you how to use R basics, work with data frames, data reshaping, basic statistics, graphing, linear models, non-linear models, clustering, and model diagnostics.
This course is geared towards anyone interested to learn data mining techniques to find insights into data, and who has some statistical and programming experience
Conclusion
The Required Skills for Business Intelligence go beyond technical. Read our post for an overview of both the technical and soft-skill requirements.
Are you more interested in reporting and BI? Our list of the Top Online Business Intelligence Courses may be more applicable.
With business intelligence and data analysis skills in short supply, our curriculum provides an opportunity for business analytics teams and individuals to bolster their skills and achieve an internationally recognized CIMP accreditation. Join hundreds of institutions around the world that trust eLearningCurve to build their data analytics capability.
The recommended background for business intelligence typically includes a degree as well as specific business intelligence training Business Intelligence is the process of collecting, analyzing, and transforming data into meaningful insights for decision-making. It involves working with large datasets and various technologies such as data warehouses, ETL (Extract, Transform, Load) tools, and visualization tools.
A good understanding of data management concepts and tools is critical for anyone interested in pursuing a career in this field, as is business acumen, problem-solving abilities, and communications skills. For these reasons, many BI professionals have a degree as well as specific BI training.
Ready to take your business intelligence game to the next level? Check out our guide on what you need to learn for business intelligence for some valuable insights.
Technical Background for Business Intelligence
A solid technical foundation is essential for anyone aspiring to become a Business Intelligence professional. You need to have a good grasp of programming languages such as SQL, Python, and R. You may need to be proficient in data warehousing concepts, data modelling, ETL, and data integration. Familiarity with BI tools such as Tableau, Power BI, and QlikView is also an advantage.
Analytical background
As a BI professional, you will be dealing with vast amounts of data, and the ability to analyze and interpret it is critical. You need to be comfortable working with statistical concepts and data analysis techniques such as regression analysis, hypothesis testing, and data clustering. Familiarity with machine learning algorithms is also a plus.
Communication Skills
The ability to communicate effectively is essential for any BI professional. You need to be able to translate technical information into plain language that stakeholders can understand. You also need to be able to present your findings in a clear and concise manner. Strong written and verbal communication skills are necessary.
Business Background
BI professionals need to understand the business they are working in and the specific problems they are trying to solve. Having knowledge of business operations, financial analysis, and marketing is beneficial. You should be able to think critically and identify trends, patterns, and insights that can help drive business decisions.
Industry Experience
Having prior experience in the industry you want to work in is beneficial. It gives you an understanding of the business processes and challenges, making it easier to identify areas where BI can add value. Relevant experience can include data analysis, data modelling, or database administration.
Educational Background
A Bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field is often required for entry-level BI positions. However, some employers may accept candidates with a degree in a non-technical field if they have relevant work experience.
Certifications for Business Intelligence
Certifications are an excellent way to demonstrate your expertise in a specific BI tool or technology. Some popular certifications include Tableau Desktop Specialist, Microsoft Certified: Azure Data Scientist Associate, AWS Certified Big Data – Specialty, and our Certified Information Management Professional accreditation
Future of Business Intelligence
The ability to work with unstructured data such as text and audio will also be a critical skill for BI professionals. As more businesses move towards cloud-based solutions, knowledge of cloud platforms such as AWS and Azure will be beneficial. While specific technical skills may be more a less popular in different geographies or in the future, a sound foundation in business intelligence and analytics fundamentals will allow you to adapt to new technology and apply it to answer business questions.
More skills to develop:
Want to improve your data literacy but don't know where to start? At Master Data, we've put together a list of 5 courses to improve your data literacy that will help you get started. Whether you're a beginner or an experienced data professional, these courses will help you build your skills and knowledge.
Being a great data analyst takes more than just technical skills. At Master Data, we've identified 5 essential characteristics for a great data analyst that will help you succeed in this challenging field.
Business intelligence involves collecting, analyzing, and presenting data in a meaningful way to help businesses make better decisions. As the volume and complexity of data continue to grow, the demand for skilled business intelligence professionals is also increasing. To succeed in this field, you need to have a combination of technical and soft skills.
Ready to take your business intelligence skills to the next level? Discover all the essentials of what you need to learn for business intelligence.
Technical Skills required for Business intelligence include:
Data Analysis
Data analysis is a critical skill for business intelligence professionals. It involves collecting, cleaning, and transforming data into meaningful insights. To be an effective data analyst, you need to be proficient in using tools like Excel, R, Python, or SQL to extract and analyze data.
Data Visualization
Data visualization is the process of presenting data in a graphical or visual format to help users understand complex data sets easily. To become a skilled data visualization expert, you need to be proficient in using tools like Tableau, Power BI, or QlikView.
SQL
Structured Query Language (SQL) is a standard language used to manage and manipulate relational databases. To become a successful business intelligence professional, you need to have a deep understanding of SQL and be able to write complex queries to extract data.
Programming Skills
Business intelligence professionals must have strong programming skills to create custom data models, build predictive models, and automate data processes. Programming languages like Python, R, and Java are essential for developing data-driven applications.
Machine Learning
Machine learning is an essential skill for business intelligence professionals. It involves developing algorithms that can learn from data and make predictions or decisions based on that data. To become a skilled machine learning professional, you need to be proficient in using libraries like TensorFlow, Keras, or scikit-learn.
Big Data Technologies
Big data technologies like Hadoop, Spark, and Hive are essential for managing and processing large and complex data sets. To become a skilled big data professional, you need to be proficient in using these technologies to extract and analyze data.
Soft Skills required for Business Intelligence
Critical Thinking
Business intelligence professionals must have strong critical thinking skills to analyze complex data sets and uncover valuable insights. They must be able to ask the right questions, identify patterns and trends, and draw meaningful conclusions from the data.
Communication Skills
Business intelligence professionals must have excellent communication skills to present data and insights to stakeholders. They must be able to explain complex data sets in a simple and understandable way, and communicate their findings effectively.
Time Management
Business intelligence professionals must be able to manage their time effectively to meet tight deadlines. They must be able to prioritize tasks, manage their workload, and work efficiently to deliver high-quality work.
Business Acumen
Business intelligence professionals must have a deep understanding of business operations and strategy. They must be able to align their work with the overall business goals and objectives, and identify opportunities for growth and improvement.
Creativity
Business intelligence professionals must have a creative mindset to approach problems in new and innovative ways. They must be able to think outside the box and come up with unique solutions to complex problems.
Adaptability
Business intelligence professionals must be able to adapt to new technologies, tools, and trends. They must be able to learn new skills quickly and stay up-to-date with the latest developments in the field. They must also be able to adapt to changing business needs and priorities.
ConclusionBusiness intelligence is a complex and dynamic field that requires a combination of technical and soft skills.
To become a successful business intelligence professional, you need to have a deep understanding of data analysis, data visualization, SQL, programming languages, machine learning, and big data technologies. You also need to have strong critical thinking, communication, time management, business acumen, creativity, and adaptability skills.
By mastering these skills, you can become an invaluable asset to any organization and help them make data-driven decisions that drive growth and success.
In our next post, we focus on technical skills with our list of the top online data analytics courses in South Africa.
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