Data analytics can be defined as a process that helps businesses optimize their performance, maximize profit, perform with greater efficiency, and use strategy to a greater extent to make their decisions. Thus, it is becoming more important with every passing day because it is providing businesses with insights into how they can develop themselves further.
With the Data Analytics specialization in a BCA (Bachelor of Computer Applications) course you will be allowed to immerse yourself fully in data and its various facets, a vast realm indeed!
As an Indian student, participating in this course will equip you to design products and foster skills in game and software development thus making you a more employable prospect.
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- Data Analytics definition: Data Analytics is a process whereby you analyze raw data to get answers to questions and find trends.
- Types of Data Analytics: There are four main kinds or types of data analytics – descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. In descriptive analytics, you learn what happened and in diagnostic analytics show you why it happened. Predictive analytics shows you what might happen next and prescriptive analytics shows you how the situation can be remedied should the need to do so arise.
- Importance of Data Analytics in various industries: Data analytics is playing a major role in so many industries in the world. In the healthcare sector, it is helping improve diagnoses, reduce fraud and readmissions, detect outbreaks, discover fresh treatments, and optimize care plans. In the banking and finance sector, it is helping with fraud detection, risk reduction, offering customization, customer engagement improvement, and market trends anticipation. In the retail sector data analytics helps you understand customer behavior, reduce fraud, recommends products, improves supply chain management, and optimizes pricing. It also helps IT (information technology) companies thrive in areas such as product development, customer retention and acquisition, and operational efficiency.
Overview of Data Analytics Specialization in BCA
Core Subjects in Data Analytics Specialization
- Programming Languages: In the Data Analysis specialization paper on Programming Languages such as Python, SQL (Structured Query Language), and R you learn how to use these languages to instruct computers about tasks that are required for solving various issues.
- Data Structures and Algorithms: The paper on Data Structures and Algorithms empowers you to be efficient while writing optimized computer programs.
- Database Management Systems: In the Database Management Systems paper, you will learn how to use common database manipulation languages such as SQL the most effectively.
- Introduction to Data Analytics: The paper on Introduction to Data Analytics will offer you detailed expertise in different facets of the domain such as the following:
- data warehousing
- data modeling
- data mining
- data analysis
- data visualization
- data reporting
Also Read: The Rise of Women in Data Analytics
Advanced Subjects in Data Analytics Specialization
- Machine Learning: With the paper on Machine Learning (ML), you learn the ways to create self-learning computer systems by fusing statistical models and algorithms.
- Big Data Technologies: In the paper on Big Data Technologies, you will learn how Big Data is used in domains of advanced analytics such as Predictive Modeling and ML for solving problems being faced by businesses and making informed decisions.
- Data Visualization: The paper on Data Visualization covers areas such as principles of data visualization, ways of communicating data-driven findings, methods of using tools such as ggplot2 for creating custom plots, and the weaknesses of various popular plots and the reasons to avoid them.
- Statistical Analysis and Probability: With the paper on Statistical Analysis and Probability, you can master statistical analysis for interpreting data, and learn statistical methods, data-driven decision-making, and hypothesis testing.
Practical Components of Data Analytics Specialization
- Projects and case studies: Projects and case studies help BCA students like you by providing them with opportunities to apply their theoretical knowledge practically. In turn, this helps you develop your skills and become industry-relevant. Such opportunities also help foster innovation and critical thinking skills and are immensely academically beneficial too. Projects and case studies also provide you with opportunities for networking and personal growth. Most important of all, they are great in case you are looking for continuous learning.
- Internships and industry interactions: Internships and industry interactions during such courses are always a great idea as they help you learn invaluable skills, check out the various job options that you will be offered later on, and thus make it more convenient for you to find the best jobs.
- Hands-on experience with Data Analytics tools and software: Hands-on experience with Data Analytics tools and software during the program means you have first-hand ideas of using coding, problem-solving, and software development. This helps you later on by offering you a distinctive advantage when it comes to looking for jobs.
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Career Scope and Opportunities after Data Analytics Specialization
Job Roles
- Data Analysts: Data Analysts are supposed to analyze data, present insights, and prepare reports for the stakeholders.
- Data Scientists: Data Scientists primarily work in processes such as data cleaning, model development, and analysis.
- Business Analysts: Business Analysts translate data into actionable insights that help businesses make better decisions.
- Data Engineers: Data Engineers build systems that collect, convert, and manage raw data to create usable information that can be further interpreted by Business Analysts and Data Scientists.
Industries and Sectors
- IT and Software Services: IT and Software Services providers are among the biggest recruiters of BCA graduates with Data Analytics specialization. This includes agile startups as well as the top names of the industry such as Infosys and TCS (Tata Consultancy Services). They primarily hire in roles such as Data Analyst, Data Visualization Specialist, and Business Intelligence Specialist.
- Banking and Finance: Financial services providers such as insurers and banks – as well as fintech (financial technology) startups, use data for assessing risk, predicting market trends, and personalizing offerings. They primarily offer opportunities in fraud detection, credit risk analysis, and customer segmentation.
- Healthcare: In the Healthcare sector, there is an urgent need to analyze medical data so that patient care can be improved, operations can be optimized, and new treatments can be developed. The most principal roles in this industry are Healthcare Data Analyst, Bioinformatics Analyst, and Clinical Data Analyst.
- E-commerce and Retail: There is always a pressing need in the E-commerce and Retail sector to understand the whys and hows of customer behavior. As a BCA graduate, you would likely find work in areas such as product recommendation, marketing analytics, and demand forecasting over here.
Salary Prospects
- Entry-level salaries for Data Analytics professionals in India: On average, Data Analysts in India earn in the region of Rs 1.8 lakhs a year when they start working which means you earn Rs 15,000 per month.
- Salary growth potential: With experience, you can earn up to Rs 13 lakhs a year in this profession which means you will be earning Rs 1.1 lakh per month.
- High-demand skills that can lead to better compensation: If you want to earn more as a Data Analytics professional you have to master skills such as Python, data visualization tools, and SQL because these are the ones that employers in this domain are looking for these days.
Advantages of Pursuing Data Analytics Specialization Online
Following are the biggest benefits that you get by pursuing Data Analytics specialization programs online:
- flexibility and convenience
- cost-efficacy
- access to diverse resources
- improved learning experience
- networking opportunities
- skill development
- career advancement
- customizable learning path
- continued access to materials
- real-world application
- accelerated learning
Also Read: 7 Growing Industry Trends
Why Choose Amity Online for Data Analytics Specialization?
Amity Online is the best place for studying Data Analytics specialization in BCA. It has the leading faculty from India and outside it which means you get world-class education from the best. The faculty members have rich industry and academic experience.
Amity Online offers you career services to make you job-ready. This includes teaching the most in-demand skills, placement assistance in the final semester, master classes that help you prepare for interviews and resume-building sessions.
The program over here offers you the scope to learn just as you want to with options such as the following thus enhancing your potential to learn:
- printed books
- audiobooks
- e-books
- videos
- campus library resources
It has also partnered with TCS (Tata Consultancy Services) iON to offer students placement assistance at over 500 hiring partners. These companies are from various sectors and they make sure you experience a smooth transition to jobs. The most prominent names in this case are:
- EXL
- Tech Mahindra
- IBM (International Business Machines)
- Airtel
- Genpact
- Network 18
- Dell
- GE (General Electric Company) Capital
- Maruti Suzuki
- Adobe
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Hopefully you have got your query of what is data analytics specialization, resolved. And you have realized that it is perhaps one of the most important courses right now because it prepares you for positions without which companies will find it hard to make informed decisions to survive in the cutthroat business environment.
It is also important to note in this particular context that you must pursue this program from a top name like Amity Online because where else will you get benefits such as the best global and Indian faculty, career services for job readiness, choice of learning method, and placement assistance at leading companies in India and the world?
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