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10 Business Analytics Courses With Good Placement Opportunities

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10 Business Analytics Courses With Good Placement Opportunities

Pursuing a business analytics course improves employment chances in other areas as well

Business analytics also called business intelligence involves data analytics from a business point of view, requiring pre-built business content and tools to carry out the analysis process. It essentially involves taking in and processing historical business data, identifying trends, patterns, and root causes, and making data-driven decisions based on those insights. By virtue of the growing need for business analytics, it currently holds huge potential for growth in business analytics jobs. Business analysts will record a growth of up to 25% by 2030, says the US Bureau of Labor Statistics. BLS also predicts good career opportunities which share job skills with business analysts. Therefore, pursuing a business analytics course improves employment chances in other areas as well.

Check for the top 10 business analyst courses with good placement opportunities.

 

1. Business Analysis Fundamentals (Udemy)

A short-term course that some of the best companies like Nasdaq, Volkswagen, and Netapp have chosen to train their employees. This course covers the basics of business analysis, how to properly initiate a project, understand its requirements and get to do a thorough analysis of six project methodologies including traditional Waterfall and Agile frameworks.

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2. Apply Fundamental Data Analysis to Real Business Problems (Harvard Business School)

This course has modules covering ways to interpret data to inform business decisions, recognize trends, develop and test hypotheses, craft survey questions, and implement regression analysis and other analytical techniques. This is a course suitable for Gradual School aspirants as well as mid-career professionals.

 

3. Graduate Diploma in Business Analytics (University of London)

Offered by LSE, the students get a quantitative orientation for a career in business analytics, preparing them for further studies. The program duration varies from one to five years.

 

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4. Advanced Certification in Business Analytics (Intellipat)

Developed by Fore School of Management and the University of California, prepares students to become Business Analysts experts. The program contains 10 modules covering advanced-level skills in KNIME, Domain Knowledge, Azure SQL, database, Probability, OOPs, etc.

 

5. MSc Business Analytics

MSc in Business Analytics (BITS Pilani)

It is a UGC-approved five-semester Work Integrated Learning Programme. A highly recommended course for those who want rapid career growth in Big Data and Business Analytics.

 

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6. MBA in Business Analytics (Bits Pilani)

It is a course designed for working professionals. It has four semesters with weekend classes held mostly on weekends or after office hours. The program provides access to advanced labs and software tools to gain practical knowledge in data analysis and visualization.

 

7. The Essentials of Business & Risk Analysis

If you are interested in learning business analysis techniques and risk management systems, this is the right one. Doing this course you will gain business-building skills to assist managers in charting out plans, doing risk analysis, and risk management.

 

8. Professional Certificate Program in Business Analysis

Offered by Simplilearn in collaboration with Purdue University, is designed for professionals aiming for mid-career progression. It offers hands-on experience with business analytics tools and frameworks including those used by Agile teams. Other benefits include exclusive IBM hackathons with data analytics certification and getting to do a Capstone project from 3 domains and 14+ projects.

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9. Business Analytics for Strategic Decision Making

Developed by IIT Roorkee, the Certificate Programme imparts the analytical knowledge required to turn data into a tactical asset that can generate business value. The course content has modules covering topics varying from the foundation of business analytics, and predictive analytics for business to prescriptive analytics for business including a capstone project in Business Analytics for Strategic Decision Making.

 

10. Business Data Analytics & Intelligence with Python (Udemy)

This course offers professional Business Analyst skills and by the end of the course, you will learn to use Python for statistics, causal inference, and predictive analytics. You get to analyze real datasets related to Moneyball, and wine quality using tools and techniques including Google Casual Impact, Facebook Prophet, Random Forest, etc.

The post 10 Business Analytics Courses with Good Placement Opportunities appeared first on Analytics Insight.

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Business Analytics

10 Data Storytelling Tips For Beginners Working In FAAMNG

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10 Data Storytelling Tips For Beginners Working In FAAMNG

According to Gartner, data storytelling will be the most widespread means of consuming analytics by 2025

Humans are inherently storytellers and use storytelling as a medium of sharing information. Nothing works like a compelling narrative when it comes to putting across a nuanced idea across. Data and numbers though give a clear picture when measured in a few parameters, it is a clumsy affair with Big-data. The hoard of solutions such as Business Intelligence software, dashboards, and spreadsheets can only tell what is happening and not why it is happening. In this context, data storytelling comes as a magic wand in the hands of businesses to spell the magic of business analytics. According to Gartner, data storytelling will be the most widespread means of consuming analytics by 2025. As the importance of data storytelling capability is only going to surge in the future, particularly in FAAMNG companies, we have put together the top 10 data storytelling tips for beginners working in FAAMNG companies.

  1. Choose the right tool: Given the number of tools one has access to it is quite natural to get lost in the maze of confusion. Just keep in mind what you want to achieve, the message that needs to be communicated, and the kind of audience.
  2. Remove junk: It doesn’t mean killing data points, but removing unnecessary elements such as unnecessary charts, illustrations, drop shadows, ornamentations, etc. Data visualization can do all the heavy lifting provided the right tool is chosen.
  3. Make more corrections: Once the visualization is created, take a step back and consider what simple elements can be added, tweaked, or removed to make the data easier, Viz., a trend line to a line chart, or remove a few slices from the pie chart.
  4. Include Zero Baseline: A zero baseline gives more context to the data and hence it makes sense to include if necessary. However, the scale can be truncated to showcase variancies if relatively small fluctuations in data sound meaningful.
  5. Choose Efficient visualisation: Visual consistency is an essential ingredient if you want the reader to be able to compare at a glance. Presenting too many visualizations at a time will only overhwhelm the reader. Avoid it.
  6. Place the visualisations appropriately: Two stacked bar charts meant for comparisions won’t serve the purpose if placed too apart. It’s like playing a lost game.
  7. Tell the whole story: Maybe you had a 30% sales increase in Q4. Exciting! But what’s more exciting? Showing that you’ve actually had a 100% sales increase since Q1.
  8. Keep header simple: Steer clear of verbose and flowery language keeping all the text simple and to the point. Less is more.
  9. Make Purposeful Callouts: Callouts should be used intentionally highlighting relevant information to provide additional context. Definitely, they are not meant for filling space.
  10. Label the lines directly: It is always beneficial to include data label with data points. This avoids the need for going for a legend or a similar point.

The post 10 Data Storytelling Tips for Beginners Working in FAAMNG appeared first on Analytics Insight.

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Business Analytics

The Growing Demand For Business Analytics And Data Science

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The Growing Demand For Business Analytics And Data Science

Business analytics and data science courses are expected to grow drastically in the next few years

Business analytics and data science have become powerful weapons that are helping the world to recover from pandemic losses. Data is the most precious resource in today’s technologically driven world. Data science combines different algorithms, tools, and machine learning principles. The demand for data science and business analytics will continue to grow at an exponential rate. There are many data science and analytics courses today, so there needs to be a substantial filter now to determine which online data science courses are the best. This article features the top 5 online business analytics and data science courses to take in 2023.

 

Data Analytics for Business Course – Tableau by Future Learn

Duration: 12 weeks

Fee: US$ 572.28

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Enrollment Type: Online

Through this course, You will build core quantitative data analysis skills in managing and analyzing complex data sets with Excel and SQL. It will make you learn how to make business recommendations using analytical modeling, progressing from diagnostic analysis to predictive models.

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Business Analytics Foundations by EdX

Duration: 8 months

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Fee: US$ 996.84

Enrollment Type: Online

This program provides the foundational skills necessary for a career in business and data analysis, including knowledge of scripting languages and data analysis to solve real-world problems. Learners will finish this program with the ability to automate tasks and apply statistical methods to solve problems with Python. Here you will learn to translate business requirements into problems that can be solved computationally.

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Business Analytics For Strategic Decision Making by Simplilearn

Duration: 6 months

Fee: NA

Enrollment Type: Online

This Business Analytics program will help you gain the knowledge you require to turn your organization’s data into a tactical asset to generate business value. Make data-driven strategic decisions for your organization with this Business Analytics for Strategic Decision-Making program by IIT Roorkee.

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Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics by Linkedin Learning

Duration: NA

Fee: US$ 10.84

Enrollment Type: Online

In this course, you are going to be using two sets of data as examples and use cases. The first data set is about heart diseases, specifically heart disease measurements for a set of individuals. It contains popular measures like blood pressure, cholesterol, sugar, et cetera. This is used to code examples during the lecture videos. The second data set is about email campaigns and conversions. It is about a business that sends out emails periodically to potential customers with offers for their products.

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Get Ahead in Business Analytics and Analysis by Linkedin Learning

Duration: 21 hours

Fee: NA

Enrollment Type: Online

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In this course, you will get an overview of the business analytics framework that applies to topics like problem framing, stakeholder analysis, data wrangling, visualizations, descriptive statistics, exploratory analysis, and more. Here you will learn how business analysis really works—and how you can use it to improve your organization.

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The post The Growing Demand for Business Analytics and Data Science appeared first on Analytics Insight.

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Business Analytics

The Best 10 Business Analytics Online Certification Courses

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The Best 10 Business Analytics Online Certification Courses

Here are the top business analytics online courses that are available online including both free and paid resources

Business analysts use a range of statistical and quantitative methods, tools, and predictive models to gain insights and make data-driven decisions. Here are the top business analytics online courses that are available online including both free and paid resources. While most of these can be taken up by complete beginners, a dew is an advanced-level course that requires some prior knowledge.

 

Introduction to Data Analytics for Managers – edX

Duration: 6 Weeks

Fee: INR₹4,057

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Enrollment Type: Part-time

Through a combination of lectures, business case studies, and hands-on learning this course provides an introduction to data analytics techniques and their application in business. The case studies explored will illustrate how companies are leveraging different sources of data, including “big data,” with different analytical techniques, to improve performance. You will receive hands-on learning through a free web-based graphical development environment that will allow you to practice using some of these tools themselves. You will also gain an understanding of the many possibilities for applying data science in business and will be able to consider additional learning opportunities to gain further depth.

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Introduction to Business Analytics-Communicating With Data – Coursera

Duration: Approx 15 hours

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Fee: N/A

Enrollment Type: Part-time

This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision-making for their agencies, organizations, or clients.

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Customer Analytics – Coursera

Duration: Approx. 12 hours

Fee: N/A

Enrollment Type: Part-time

In this course, four of Wharton’s top marketing professors will provide an overview of key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few. This course provides an overview of the field of analytics so that you can make informed business decisions. It is an introduction to the theory of customer analytics and is not intended to prepare learners to perform customer analytics.

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Knowledge Management and Big Data in Business – edX

Duration: 8 Weeks

Fee: INR₹13,992

Enrollment Type: Part-time

The course is offered by the Knowledge Management and Innovation Research Center (KMIRC) of the Hong Kong Polytechnic University. Most of our research is company and industry based. The capabilities and competencies of the KMIRC are further strengthened by the international alliances it has formed with leading practitioners, many of whom are regarded as members of the “Hall of Fame” in knowledge management and are renowned worldwide. The course is suitable for participants with a background in humanities, management, social science, physical science, or engineering. No prior technical background is needed.

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Data, Models, and Decisions – MIT

Duration: N/A

Fee: N/A

Enrollment Type: Part-time

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Many managerial decisions—regardless of their functional orientation—are increasingly based on analysis using quantitative models from the discipline of management science. Management science tools, techniques, and concepts (e.g., data, models, and software programs) have dramatically changed the way businesses operate in manufacturing, service operations, marketing, transportation, and finance. This subject is designed to introduce first-year Sloan students to the fundamental techniques of using data to make informed management decisions. In particular, we will focus on various ways of modeling, or thinking structurally about, decision problems in order to enhance decision-making skills.

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Business Analyst Online Training and Certification Program – Bridging the Gap

Duration: N/A

Fee: N/A

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Enrollment Type: N/A

With practical, real-world online training, you’ll learn techniques and processes that elevate your career potential in any industry or type of project. With hands-on instructor coaching and documentation reviews, you’ll create vetted work samples showcasing your experience while making an immediate positive impact. With a credential that documents your on-the-job application, you’ll be seen as an official and certified business analyst which can open up new career opportunities.

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Become a Business Analytics Expert – LinkedIn Learning

Duration: N/A

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Fee: N/A

Enrollment Type: N/A

In this learning path, you can learn all the skills to gather, document, and analyze business needs and requirements and become a successful business analyst. Develop basic business analyst skills required for this role. Demonstrate technical skills to execute effectively. Build leadership and communication skills to excel and advance. Business analysis is often used to refer to a profession, a competency, and the discipline of performing business research. This course gives an overview of all three areas.

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Decision-making and Risk: An Introduction – Future Learn

Duration: 2 Weeks

Fee: N/A

Enrollment Type: Part-time

You will learn about the definition of risk and look at some of the barriers that hinder effective decision-making in our professional and personal lives. You will also look at some techniques that could help overcome these barriers and analyze Daniel Kahneman’s decision-making model. This course is for anyone looking to improve their knowledge of decision-making and risk within an organization or business.

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Fundamentals of Google Analytics by Skillshare

Duration: 1h 1m

Fee: NA

Enrollment Type: Online

Fundamentals of Google Analytics course offers you learning to get the most out of your website data. From understanding user demographics to developing the perfect dashboard, each lesson is packed with actionable tips and tricks that help you articulate your goals, increase conversions, and use your website to upgrade your business. The lesson includes ways to set custom goals based on visitor behavior and also provides an understanding of users with the help of segments and content groups.

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Business Analytics Specialization by Coursera

Duration: NA

Fee: Free

Enrollment Type: Online

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This Specialization gives an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You will learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and it will develop basic data literacy and an analytic mindset that will guide you in making strategic decisions based on data.

Enroll Here

The post The Best 10 Business Analytics Online Certification Courses appeared first on Analytics Insight.

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