Top 7 Data Analyst Course After MBA With Placements

The importance of ‘data’ in today’s time is undeniable. As per a report released by Statista, the total amount of data that would be created, copied, captured, and consumed around the globe is estimated to go beyond 180 zettabytes by 2025. You might not be able to comprehend how mammoth this number is but in simple words, it is mountainous, and so is its importance!

Now, to make use of all the ‘big data ’, it needs to be explored and analyzed. This is where Data analytics and the role of Data analysts step in. Quizzed about these terms? Do not worry! This blog will comprehensively answer questions such as – ‘what is data analytics ’,  ‘role of data analysts’, ‘data analyst course after MBA’, etc.


List of best data analyst courses after MBA


What is Data Analytics

The term ‘data analytics ’ refers to the process of studying and analyzing large chunks of data (from real-time, unstructured, qualitative, structured to historical) and deriving useful insights and patterns. The derived insights are further used by organizations to address the challenges/ problems and automate decisions.

It is often referred to as business intelligence. For reference, take e-commerce companies into consideration. Most of them track customer behavior through the insights collected through data analysis and accordingly create customized user experiences.

Data analysis helps in studying past trends to make estimations of the future so that individuals, businesses, or organizations can make informed decisions. It lets them identify problematic areas, collect raw data sets, clean duplicate records, and clean unnecessary data, as well as interpret conclusions.

In today’s time, data analytics as a tool has enabled the digital transformation of organizations/ businesses, and they have grown by leaps and bounds.


Application of Data Analytics

With the rise of the internet of things (IoT) and other technologies, the application of data analytics has spread to many sectors. This is the reason why many aspiring people take up data analyst course after MBA. Some of them are mentioned below:


1) Risk Management

Data analytics tools are quite useful in the finance sector, especially in the field of insurance. When a person is insured, there are different dynamics involved in the process, such as claim data, actuarial data, etc. And the analysis of all this data of the insured person helps to compute the overall risk involved while insuring a person. Over the years, the task of detecting risk claims has become easy with data analytics tools.


2) Delivery

Some of the logistic giants like FedEx and DHL are already using data analysis to access, collect, process and analyze data to improve their efficiency and overall customer experience. The data analytics tools help companies to hunt for optimum shipping routes, estimation of delivery time, and find the most cost-effective means of transportation.


3) Risk Detection

One of the first few applications of data analytics has been for risk detection. As you are reading this blog, many organizations are facing the problem of debt due to many customer defaults. However, through data analysis, the companies organize their customer data to analyze their profiles, expenditures, etc to estimate the probability of a customer defaulting on them.


4) Sales

Many organizations use data analytics to help them trace the journey of prospective buyers. It has helped salespeople and marketers to track the interest of customers at every step, from viewing a service/product to finally purchasing the same. The detailed conclusions enabled by data analytics tools help in creating custom-tailored experiences for consumers.


5) Human Resource

One of the most effective applications of data analytics is in the field of human resources. The right data insights and patterns help human resource professionals to scout for apt talents for organizations. It also helps them to collaborate smoothly with other departments to plan and monitor different policies with regard to the workforce.

Now that you have a basic idea about Data analytics, its importance, and its application in current times, it is time to know about the professionals who carry out the process of data analysis i.e Data Analysts. It will help you to get an idea about the benefits of doing a data analyst course after MBA.


Data Analysts: The Who, What, and How!

With the surged use of data analytics in different sectors, the demand for professionals who can comprehend big chunks of data has also grown in the last five years. You must have come across many advertisements while surfing different websites, YouTube, etc regarding the same. The prospect of data analysis as a career has gained high traction so much so that people are going for different data analyst course after MBA.


Who is a Data Analyst and What does the Job Profile Entail?

A data analyst is a professional whose main work is to gather, comprehend and interpret large chunks of data and use the derived results as solutions to specific problems/challenges. The job profile of a Data Analyst primarily entails the following tasks. Have a look at them carefully to understand the kind of work you might have to do in a data analyst course after MBA.


1) The data analysts have to collect the required data by themselves. The first and most basic step is to gather data! It involves carrying out surveys, tracing users’ journeys on a website, or in some cases buying large datasets from data collection specialists.

2) After data collection, the next step is to clean it. Yes! The collected data is mostly and it often contains outliers, copies, errors, etc all these things need to be cleaned up so that there is no chance of glitches or mistakes while the interpretation of data.

3) At times, Data Analysts have to create, design, and structure the database, and this is termed data modeling. It can be understood as organizing the data into categories so that it appears in an assembled way.

4) The main work of a data analyst is, of course, data interpretation. It involves scouting for trends and patterns that could help in addressing a concerning problem. It is followed by presenting the derived results in the form of explanatory graphs, charts, reports, etc.


Types of Data Analyst

Once you have completed your data analyst course after MBA, you can choose to serve in different fields as per your interest and liking. Have a look at the following table to know the different types of data analyst jobs available in the market:


Market Research AnalystsThese professionals collect data to evaluate competitor and customer data. They try to find out the sentiments of the market to estimate the sales of a product or service in the future.



Medical/Health Care AnalystsAs the name suggests, medical or healthcare analysts process data to bring about improvements in the healthcare system. The focus is on the business aspect of drugs/medicines, patient care, etc
Business AnalystsThese professionals use data to provide business insights into corporate organizations so that they can rectify and improve problematic areas. The main work is to find out underlying issues in the structure of the organization, IT processes, workforce management, etc. Business analysts through their work help organizations increase their overall efficiency.
Operation Research AnalystsThe work of operation research analysts revolves around data mining, optimization, conducting statistical analysis, and mathematical modeling to provide effective solutions to organizations. It helps them to become cost-effective and function more efficiently.
Intelligence AnalystsThe job profile of intelligence analysts entails information examination to alleviate security concerns. The right research and analysis of data/information helps in creating competent action plans.
Business Intelligence AnalystsAbbreviated as BI analysts, these professionals review and scrutinize data/information and help organizations make better choices or decisions in business. As required, they also curate data models and tools for effective monitoring of data.


Key Skills Data Analysts Learn

If you choose to do a data analyst course after MBA, you will be learning and brushing up on the following skills:

1) Decent mathematical and statistical efficiency to gather, organizing, and auditing chunks of data. Statistical efficiency includes Excel, SAS, etc.

2) Different programming languages like Oracle, SQL, R, Python, MATLAB, etc.

3) Other technical stuff like data modeling, data mining, segmentation, design development, etc.

4) Ways to handle Business Objects, databases, or datasets.

5) Knowledge of using platforms such as Apache Spark and Hadoop and applications like Tableau and Qlik

6) Knowledge to create and implement algorithms in different databases to address different problems.

Other skills of a data analyst include – problem-solving, attention to detail, accuracy, making comprehensive reports/presentations, and teamwork.


How to Become a Data Analyst?

Now that we know the job profile of a data analyst, let us find out how to become one. A simple answer to this question is – by doing a data analyst course. A striking thing about data analytics is that any person irrespective of the stream of study he/she has done can study data analysis.

This implies, if you have plans, then you can definitely do a data analyst course after MBA. Wear your reading glasses to know more about the Data analysis course!


A few other courses you should check:


Data Analytics Course: Eligibility, Fees, and Syllabus

If you are a management graduate and are seeking to make a career as a data analyst then opting for a data analyst course after MBA is the way to go for it. Most of these courses cover detailed concepts of data analysis (like gathering data, cleaning, and interpreting it) and ways to handle different tools/platforms for understanding the ecosystem of data.

Apart from the technical skills, many data analytics courses also focus on brushing up on the soft skill of communication so that students can effectively present the derived results to the stakeholders.



You can opt for a Data Analytics course at UG and PG levels. At the same time, there are diploma and certification courses also available. The data analytics courses at undergraduate include -B.Sc in Data Science and Analytics, B.Sc in Data Science, B.Sc in Statistics and Analytics, BCA in Data Science, etc.

Furthermore, courses at the postgraduate level include – M.Sc in Data Science and Data Analytics, M.Sc in Big Data Analytics, M.Sc in Computer Software Application, M.Sc in Data Science and Data Analytics, etc. Secondly, the general eligibility of UG data analytics courses is 10+2 with PCM and for PG data analytics courses it is a bachelor’s degree with 50% marks.



The fees of undergraduate data analytics courses usually can range between INR 1- 10 lakhs and that of postgraduate data analytics courses can range from INR 14,000- to a few lakhs. In addition to this, the certification courses usually range from INR 500 to 12,000. However, when applying for a specific data analyst course after MBA, you should do your research to know the exact fee structure.



An overview of the curriculum covered in the data analyst course after MBA is given in the table below:


Data AnalyticsOverview of types of Data analytics, Benefits, and Examples of Data Analytics
Different Types of DataTerminologies in Data analytics, Types of Data (qualitative and quantitative), Data levels of Measurement, Normal distribution of Data, Statistical parameters
Data Visualisation for Decision MakingUnderstanding & importance of data visualization, Commonly used visualization, Frequency distribution plot, Languages, and Libraries in data visualization, Dashboard visualization, BI & Visualisation trends, and BI Software Challenges.
Data Science, Data Analytics, and Machine LearningOverlap of Data Science, Data Analytics & Machine learning, Data Science & Business Strategy, and Analytical platforms  across industries
Data Science MethodologyConcept of Data Science methodology
Data Analytics in Different SectorsAnalytics for products or services, Process to use Google Analytics, LinkedIn Analytics, Amazon Analytics
Analytics Framework and Latest TrendsCase Studies, Customer Analytics framework, Data understanding & preparation, Data Modelling & Monitoring, Latest Trends in Data Analytics, Graph Analytics, Automated Machine Learning, Open Source AI


Top 7 Data Analyst Courses You Can Do After MBA

Now that you know the A-Z of data analytics course and data analyst job profile through the preceding content of the blog, here are the top data analyst courses in India –


1) Great Learning

It is one of the top institutes to pursue your data analyst course after MBA. The most striking feature of doing the data analyst course from Great Learning is you receive dual certification, one from the University of Great Lakes and Texas. Taught by experts, the course lasts for 11-12 months and the curriculum focuses on concepts of data science, marketing & CRM, SQL programming, and Python for Data Science.


2) Madrid Software

Do not get intimidated by the name as it is a leading training institute that has been offering data analytics courses since 2011. The data analytics course is opted for by more than 1000 students every year and they give them a chance to work on case studies and try their hands on various real-life projects.

As claimed by the institute, the course curriculum is advanced and developed by industry experts. It covers topics like Python, Analytics Pandas, Analytics by Numpy, Matplotlib, Data Visualisation, Data Cleaning, Jupyter, Text Analytics, Predictive Analysis, etc.


3) Simplilearn

Established in 2010, Simplilearn is yet another source for you to do your data analyst course after MBA. It conducts the data sciences and data analytics course in Joint Partnership with IBM wherein it prepares students to take professional roles as Data Analysts in the market.

The course curriculum focuses on topics like master descriptive, hypothesis testing, regression analysis, inferential statistics, data extracts, forecasting, data blending, etc. Apart from this, equal focus is given to introducing students to Power BI and Tableau.


4) Analytixlabs

Analytixlabs offers a data analytics course by the name of Business Analytics 360 wherein the syllabus focuses on Data Science (with R), Tableau, Python, SQL, fundamentals of Machine Learning, Data Visualisation, and analytics. Usually, the course lasts for more than 3 months and students get the chance to be part of several case studies as a part of their learning. It helps in a practical understanding of the topic taught during the course.


5) Jigsaw Academy

The Jigsaw Academy was established in 2011 and since then it has been in the front when it comes to offering quality data analytics courses as it is certified by IIM Indore. Students are taught by top-notch faculty and get exposed to in-depth learning of concepts like data analysis, data scraping, data manipulation, machine learning, Predictive and statistical analysis, etc. At the end of the course, an assessment test is also conducted to evaluate the performance of students.


6) Imarticus Learning

Imarticus learning is one of the leading institutes offering a Post Graduate Program in Data Analytics that lasts up to 24 weeks. The course focuses on experiential learning, in-class projects, and Hackathons to help students grow their skills and become efficient data analysts.

The syllabus of the course primarily revolves around topics like data science with Python and R, SQL, Probability & Statistics, Data Visualisation, Tableau, Big Data Hadoop & Spark, etc.


7) Edvancer

Edvancer is a learning platform established by IIM & IIT alumni. It offers Advanced Certification in Data Analytics, and the course modules include Data Visualisation, Data Analysis, Predictive Analysis, and Big data visualization, along with tools such as SQL, Tableau, etc.

The course is accompanied by a capstone project that lasts for 3+ months. After the course completion, learners have to appear for a test to assess the learning acquired throughout the course duration. Apart from these courses, a handful of data analyst courses can be done through Upgrad, Ivy Professional School, Edureka, IMS Preschool, etc.


Career Options Available After Data Analyst Course

Once you are done with the data analytics course, multiple career paths open up in different fields and a handful of high-paying jobs apart from data analyst are listed below:


1) Business Intelligence Analyst: The main job of a business intelligence analyst is to find out valuable insights for an organization and help them increase its operational efficiency.

2) Data Scientist: The role of data scientists is similar to that of data analysts wherein they gather and analyze data to communicate actionable conclusions. However, these professionals are a step-up version of analysts due to better technical knowledge.

3) Data Engineer: The job of a data engineer revolves around large databases and optimizing the infrastructure that surrounds them.

4) Operations Analyst: The job of an operations analyst is to focus on the internal working of a business from product manufacturing & distribution, and internal reporting systems to comprehensive business operations.

5) Quantitative Analyst: These professionals are usually hired by organizations working in the finance sector. The job profile revolves around utilizing data analytics tools to find viable investment opportunities.


To add to this list, other careers available once you are done with a data analyst course after MBA are Marketing Analyst, Project Manager, IT Systems Analyst, Transportation Logistics Specialist, etc. This brings us to the end of this detailed blog about data analytics and the information around it. Hope you enjoyed the reading ride!


FAQs That Might Irk Your Minds


1) Which is the top data analyst course after MBA?

You can do a data analyst course from a number of sources/institutes or online platforms like Great Learning, Madrid Software, Simplilearn, Analytixlabs, Jigsaw Academy, etc.


2) Is it mandatory to be from the Science stream to pursue a course in data analytics?

No, being from the science stream is not mandatory to pursue a data analytics course. However, having a fundamental knowledge of subjects like mathematics, statistics, and computer science would be an advantage.


3) What are the career options available after completing a data analyst course?

Once you are done with your data analyst course, multiple career options open up. For example – Marketing Analyst, Data Scientist, Business Analyst, Operations Analyst, Quantitative Analyst, Data Engineer, etc.


4) I completed my MBA last year. However, now I have a newfound interest in the form of data. Is there any data course to do after my MBA?

Definitely yes! You can go for certification or diploma Data Analytics courses even if you have an MBA degree and you want to make a career in this field.


5) What are the 4 different types of data analytics?

Data Analytics as a concept primarily revolves around 4 pillars namely –

  1. Descriptive analytics: Insights about/ from past data
  2. Diagnostic analytics: Why a certain trend was spotted in past data
  3. Predictive analytics: Problem identification
  4. Prescriptive analytics: Finding solutions to take actions


5 Best Business Analytics Courses in Nigeria

As per Statista, the total number of active internet users in 2021 was approximately 4.3 – 5 billion. To give you more perspective, in one day, people around the globe make around 500 million tweets, send 294 billion emails, and make 3.5 billion searches using Google. This implies that people and organizations collectively generate a massive amount of data daily. As big data continues to grow, so the need for business analytics professionals is growing, and making a career in this field can be very lucrative. If you are looking for business analytics courses in Nigeria, then this blog will serve as a guide to make your hunt easier!  


List of best business analytics courses in Nigeria


Business Analytics Course: The 101 Guide

As highlighted in the preceding intro, with the massive amount of data getting produced with the passage of each day, the functionality of old database management systems does not suffice the purpose! The data analysis techniques and database management systems used for a long time fail to analyze and organize data any more efficiently.

However, with the advent of newer technologies, big data management has become easy. Not only this but more professionals are also sought after by companies who are aware of the latest tools and technologies to handle massive data. 

If we talk about technical definition, then it is the process of transforming data into a form that can be easily read or understood so that businesses can make informed decisions. The process of data management, organizing, visualization, predictive modeling, forecasting, optimization, and data mining to interpret useful insights comes under the purview of business analytics.

Moreover, business analytics also relies on quantitative, statistical, and operational analysis along with the visualization of data to interpret useful results. This is why as a business analyst; you need to acquire both technical knowledge and communicative/presentation skills while pursuing a business analyst course in Nigeria. The core focus of business analytics involves the following parameters: 


  • To identify new relationships, patterns, and results through data mining.
  • Use quantitative and statistical analysis using different business modeling tools.
  • To conduct a multi-variable testing process on the conclusions that are found. 
  • To forecast the performance, trends in the concerned industry, business requirements as well as predictive modeling.
  • To communicate the findings that are easy to read/interpret by the management and consumers.


Evolution of Business Analytics

In the past decade, business analytics has emerged as an advanced pool of tools and techniques backed by automation as well as big data. Initially, business analytics was only used by massive MNCs. However, it was adopted by businesses later for report-building, data entry, and presentations through applications like MS Excel.

With time, as big data came into the picture, more advanced applications have come to use that involve the usage of multi-dimensional data analytics and data processing. So, fundamentally, the evolution of business analytics can be traced to the use of automation for analysis as well as big data.

The demand for better and compatible tools kept increasing and motivated businesses/companies to enhance the then-existing software and tools. There was a need for more capable tools/techniques/applications to interpret massive sets of data that may be from different sources (like the cloud, distributed file systems, etc.).

That is how the idea of business analysis came into play, and business analysts were required to carry out predictions and forecasts. In a nutshell, all this technology existed. However, due to big data and the growing need of the industries, an advancement was needed that was eventually served by Business Analytics.

Also, it would not be wrong to say that business analytics has evolved primarily in four spheres namely – AI and Automated Analytics, Real-time Analytics, Predictive Analytics, and Big Data.


Types of Business Analytics

While pursuing a business analytics course, you may learn about the following types of business analytics- 


1. Descriptive Analytics: 

The first and foremost category is that of descriptive analytics, wherein raw data from different sources is shuffled to provide useful insights. Consequently, it helps to understand the effect of past actions. The interpretations made through descriptive analysis help you to only understand what is right or wrong without any in-depth explanation.

Hence, most businesses/organizations do not trust the results of descriptive analytics and prefer to combine them with other types of business analytics. To an extent, the interpretations made through descriptive analytics may help investors, stockholders, and leaders.

Two pivotal parameters of descriptive analytics include mining and data aggregation. A few examples of descriptive analytics include – Financial statement analysis: which is useful to understand the financial health of the company, and Traffic & engagement reports: to analyze the engagement metrics of the website. 


2. Diagnostic Analytics: 

Another type of business analytics is primarily used to decide whether a particular thing has happened in the past or not. It involves the process of data discovery, data mining, correlations, and drill-down. It entails data investigation to find out the driving parameters of a particular event. It is used to find the elements that are responsible for a particular outcome. 

The process of diagnostic analysis uses the concept of likelihoods and probabilities. In a nutshell, diagnostic analytics provides insight into particular problems for businesses and companies.

Some examples of diagnostic analytics – Interpreting market demand: used to fathom the market needs before the sales to meet the supply, Customer Behaviour explanation: helpful in understanding the needs of consumers to make business operations plans, Technology problem identification and Improvement of Company Culture! 


3. Predictive Analytics: 

The third type is predictive analytics, and it is mostly used by business analysts to know what would/might happen in the future. So, while studying the business analytics course, you would want to focus on this topic! The interesting thing about predictive analytics is that it combines the interpretations made through diagnostic and descriptive analytics to estimate future patterns.

Therefore, it is an important tool for business analytics. Primarily, predictive analysis is used for sentiment analysis wherein different online reviews/opinions are collected and then analyzed to estimate the final sentiment of people.

A couple of examples of predictive analytics include – Future cash flow forecasting and determining the staffing requirements in the Entertainment & Hospitality sector and Manufacturing industry to avoid any kind of malfunction. 


4. Prescriptive Analytics:

Although prescriptive analytics forms the basis of the other three types of business analytics, it is a few steps ahead of them (with regard to estimating future solutions). Prescriptive analytics is used to interpret favorable results in accordance with a predefined game plan and then propose another course of action to get desired results.

In most cases, it uses a strong feedback system that learns, un-learns, and regularly updates the connectivity between the course of action and outcomes. It can be understood as an emerging tool like AI, Algorithms, Deep Learning, etc wherein it requires both external and internal past data to give a desired outcome.

A few examples of prescriptive analytics include – Venture capital wherein it helps to make investment decisions, Sales: to predict the chances of converting a lead into conversion, and the Banking sector: wherein is used to detect any kind of fraudulent activities. 


Other Courses Available in Nigeria You Must Check


How Business Analytics Aids in Making Sound Business Decisions?

A report released by New Vantage Partner in 2020 indicated that around 64.8% of Fortune 1000 firms invested approximately $50 million towards the business analytics for their respective companies/business. This number gives a glimpse of the advancement that has taken place in this sector (in the last few years).

The Business Analytics Courses in Nigeria would tell you about the core competence of business analytics is to make precise decisions based on past trends/patterns and facts. On the contrary, if the decisions were made through old tools or mere gut/instincts, then it would result in expensive investments and it might not even be the desired outcome.  

However, the insights derived through business help to make the process systematic and optimize overall working. Furthermore, it helps in mitigating the gray areas of the business process, and the management is prepared for many unannounced issues that may occur every now and then.

When you study business analytics you may be learning about ways in which business can effectively optimize their operation. These include: 

  1. Evaluation of future decisions based on the past patterns/trends/initiatives that let them make effective business plans. 
  2. Evaluation of employee performance, efforts, and productivity working within the organization.
  3. To determine the future and current staffing requirements that help the company to perform well.
  4. To determine how good investments would perform and accordingly fine-tune the financial expenses. 
  5. To identify the demand for a concerned product/service based on the market sentiments and behavior to accordingly decide the supply! 


Benefits of Using Business Analytics 

Once done with the business analytics courses, you would be able to help companies with varied things and some of which are highlighted below: 


1. Personalisation of Consumer Experience

Companies/businesses tend to gather various customer data through different channels including social media, emails, e-commerce sites, etc. By using different tools of business analytics you can create optimized consumer profiles using the collected data. And, then gain useful insights to provide them with a personalized journey/experience. 


2. Ameliorating the Decision-making Process

Enterprises/ businesses often use data analytics to get a defined guide regarding business plans and combating financial losses. Through techniques like predictive analysis (that you will be studying about in your Business Analytics Courses, you can suggest the probable outcomes of the changes taking place in the business. 


3. Streamlining Business Operations

Companies use business analytics tools and techniques to upscale their operational efficacy. You can do data gathering and analysis with regards to the supply chain to showcase the delays in manufacturing and production as well as predictions about the issues that may occur in the past. 


4. Mitigating Risks and Managing the Setbacks

Enterprises/businesses are surrounded by risks most of the time. It can range from uncollected receivables to consumer theft, employee safety, or legal liability. Well, in such cases, data analytics comes handy to predict the events /actions of the future and save the business from potential problems/risks. 


5. Security Enhancement

It is often quoted that the next world war may occur due to data and its security is of utmost importance for companies all around the globe. You can learn through Business Analytics Courses in Nigeria how business analytics aids in diagnosing breaches from the past. And, accordingly, safeguard the data! 


Job Profiles Available after Completing Business Analytics Courses in Nigeria

We live in a world that is driven by data wherein we produce and consume data like never before. As mentioned in the former part of the blog, big data is the star of the show in current times. This is estimated to grow even more.

Therefore, the demand for job profiles in the business analytics field is sought to also grow. Once you are done with your business analytics course, you will have multiple opportunities to act upon and build your professional career accordingly. A handful of the roles you can consider exploring after completing the business analytics course include-


Management Consultant/ AnalystResearch Analyst 
Data Scientist/ AnalystProgram & Analytics Specialist 
Business Intelligence Analyst Pricing & Revenue Optimisation Analyst


Since most companies around the globe now rely on harnessing the power of business analytics, many sectors such as logistics, healthcare, e-commerce, finance, food service, entertainment, marketing, etc do need professionals in this field. Therefore, after gaining learnings from business analytics courses in Nigeria, you can also look out for jobs in the above-mentioned sectors. 


Best Business Analytics Courses in Nigeria 

Now that you are done with reading about business analytics, it is time to turn our focus towards the topic that might be irking your mind- what are the best business analytics courses in Nigeria?


1) Business Analytics Course by COURSERA 

One of the leading online platforms in the field of education and learning, Coursera provides business analytics courses in Nigeria that can be opted for by anybody! It has been enrolled by many students worldwide and bridges the human skill gap that exists in the market with regard to business analysis and data analysis.  

If you choose to enroll in this course then you will be learning about the tools and techniques of business analysis coupled with R programming language. The course curriculum revolves around teaching data cleaning, reshaping, transformation, and aggregation.

Furthermore, you will be gaining knowledge on the usage of RStudio which is a very useful IDE (integrated development environment). The sessions are interactive and come with a flexible deadline so that different people do not face issues in attending the classes and it approximately takes 15 hours to complete the course.  


2) Business Analytics Course By UDEMY 

Just like Coursera, Udemy also provides online and easily accessible business analytics courses in Nigeria. One of the interesting points about this course is the fact that it offers both free and paid versions of business analytics courses with R language.

On one hand, the paid version of the course includes video sessions, certification, interaction with the experts/instructors, assignments, and guidance. Whereas, free courses include only video sessions. There are a total of 23 sessions with 114 lectures and it takes around 18-20 hours to complete it. 

In order to enroll for the business analytics course by Udemy, you just need a decent internet connection and a laptop (to install the R language) and you will be sorted. Moreover, it is not necessary to have knowledge of coding in order to attend the classes for this course.

However, having a prior understanding of the same is useful for students. The course is perfect for beginners, entrepreneurs, and working professionals like statisticians. 


Also Read:


3) Business Analytics Course By SIMPLILEARN 

Next in line is the business analytics course provided by Simplilearn. It is one of the top business analytics courses in Nigeria and the students enrolling gain expertise in Agile Scrum Master, Tableau, Excel, SQL, CCBA as well as Agile Scrum Foundation.

Not only this but you will also be trained to build interactive dashboards, the process to work with SQL databases, and gain all the competencies of a business analyst. The course is offered in collaboration with IBM and there is no hard and fast prerequisite for enrollment. Furthermore, there are mentoring sessions with industry experts wherein you are trained for 8 in the span of 4 weeks.

The hands-on projects such as Sales performance analysis, customer analysis, and Product Analysis help you to build a good portfolio to bag your job after completing the courses.


4) Business Analytics Course by EDUREKA 

Edureka is an established online education institute known for providing training and career development courses. It offers a number of management skills and training courses and business analytics is one of them. Edureka offers Business Analytics Courses in Nigeria wherein the students gain knowledge of R programming language, Exploratory Data Analysis, Data Manipulation, Data Visualisation, Data Mining, Regression, RStudio, Sentiment Analysis, etc. 

The interactive sessions offered by Edureka are of 30 hours. And, the weekend sessions last for 10 sessions (each of 3 hours) and weekday sessions last for 15 sessions. Furthermore, if you choose to do Edureka’s Business Analytics Courses in Nigeria then you will get a chance to work on live projects based on use cases. 

Once you enroll in this course, you will get your personal Learning Management System (LMS) that comes with quizzes, presentations, an installation guide, and online customer support services. They also have a community forum for all learners to facilitate peer-to-peer discussions and interactions. 


5) Business Process Analytics in R (language) Course by DATACAMP

Datacamp offers Business Analytics courses in Nigeria with certification. The course curriculum revolves around teaching students about data mining with R programming language and ways to analyze different business systems. The business analytics course by Datacamp is divided into four chapters wherein the 1st chapter is all about data analysis (including topics on extraction, processing, and analysis).

The 2nd and 3rd chapters cover topics like R perspective angles and preprocessing of data like filtering, enriching, and aggregation events. The final chapter of the business analytics course includes case studies on data transformation and data exploration. The sessions provided by Datacamp do not need any payment for the installation.

It also provides hands-training in business analytics subjects and facilitates the learners with a tableau certification. The entire course consists of 58 exercises, 16 videos as well as 4 hours of interactive sessions wherein you can ask your queries. 


This brings us to the end of this blog. Hope you gained useful knowledge about what is business analytics, what are the benefits to use it in today’s fast-moving world, how it helps businesses to scale up, what are the job roles in this field, and the top business analytics courses in Nigeria. You can explore more about these courses by visiting the respective official websites of these online platforms. 



Q1) What is Business Analytics? 

The concept of business analytics revolves around gathering and processing past data, and patterns and then analyzing them to interpret root causes or trends from the past event. Finally, the derived insights are applied to business operations (across different divisions) to mitigate risks, scale up and ensure financial health! 


Q2) How is Business Analytics beneficial?

Several benefits of business analytics include: 

  • To streamline operational efficiency  
  • To prevent potential risks and setbacks that may occur.
  • To personalize user experience 
  • To improve decision-making, etc. 


Q3) What are the job roles you can take after completing the business analytics course

There are many lucrative career options you can consider taking up after completing Business Analytics Courses in Nigeria and some of them include – Supply chain analyst, Business Analyst, Research Analyst, Program and Analytics Specialist, etc.