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.
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.
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.
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 Analysts
|These 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 Analysts
|As 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
|These 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 Analysts
|The 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.
|The 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 Analysts
|Abbreviated 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:
- Online Data Analytics Courses
- Data Analytics Courses in Mumbai
- Data Analytics Courses in Delhi
- Data Analytics Courses in Pune
- Data Analytics Courses in Gurgaon
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:
|Overview of types of Data analytics, Benefits, and Examples of Data Analytics
|Different Types of Data
|Terminologies in Data analytics, Types of Data (qualitative and quantitative), Data levels of Measurement, Normal distribution of Data, Statistical parameters
|Data Visualisation for Decision Making
|Understanding & 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 Learning
|Overlap of Data Science, Data Analytics & Machine learning, Data Science & Business Strategy, and Analytical platforms across industries
|Data Science Methodology
|Concept of Data Science methodology
|Data Analytics in Different Sectors
|Analytics for products or services, Process to use Google Analytics, LinkedIn Analytics, Amazon Analytics
|Analytics Framework and Latest Trends
|Case 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.
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.
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.
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 –
- Descriptive analytics: Insights about/ from past data
- Diagnostic analytics: Why a certain trend was spotted in past data
- Predictive analytics: Problem identification
- Prescriptive analytics: Finding solutions to take actions