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Tools covered in MAHE’s PGCP business analytics

Blog Date
December 14,
2023

In the digital world, technology undergoes constant changes, making informed decisions indispensable. Therefore, we need data scientists to identify these changes and locate their patterns. It helps different businesses and industries make better product and service choices. Moreover, a data scientist should be proficient in statistics, machine learning, and programming languages or tools. They manipulate and analyze data sets and keep up with changes in these tools.

The blog describes different tools in MAHE’s PGCP Business Analytics program that analysts should learn. Let’s dive in!

Also read- What is Business Analytics: An overview – Online Manipal

The Post Graduate Certificate Program (PGCP) in Business Analytics encompasses a comprehensive study of various tools and technologies that are instrumental in extracting valuable insights from data. Here are the learning tools in MAHE’s Business Analytics PGCP:

Microsoft Excel

  1. The program’s intuitive design and extensive online resources make it relatively easy for individuals to learn and apply analytical techniques. It is an ideal tool for professionals seeking to enhance their analytical capabilities without a steep learning curve.
  2. Microsoft Excel is extensively used for data analysis, reporting, and visualization. Its powerful features, such as pivot tables, charts, and functions, enable users to efficiently manipulate and analyze large datasets.
  3. Analysts leverage Excel for financial modeling, budgeting, forecasting, and trend analysis tasks. The tool’s ability to handle statistical functions allows professionals to conduct data-driven decision-making.
  4. Many organizations use Excel as a primary data analysis and reporting tool regardless of size or industry. Its compatibility with various data sources and the prevalence of Excel proficiency in the workforce contribute to its enduring popularity.

Python

  1. Python is renowned for its simplicity and readability, making it accessible to individuals with diverse backgrounds.
  2. It supports libraries and frameworks, such as Pandas, NumPy, and Scikit-Learn, essential for data manipulation, analysis, and machine-learning tasks. 
  3. Python is extensively employed for data cleansing, exploratory data analysis (EDA), statistical analysis, and predictive modeling. Its versatility allows professionals to extract actionable insights from large datasets, facilitating data-driven decision-making processes.
  4. The popularity of Python in business analytics is increased by its role in emerging technologies such as artificial intelligence (AI) and machine learning (ML).

Also read- Scope for business analytics grads in emerging economics – Online Manipal

R

  1. The language is open-source, and a vibrant community contributes to its continuous improvement. The availability of numerous online resources, tutorials, and forums facilitates learning for individuals enrolled in the PGCP Business Analytics program.
  2. The language supports various data manipulation and statistical techniques, enabling professionals to handle complex data sets efficiently. R’s compatibility with other programming languages and databases allows seamless integration into existing analytics workflows.
  3. R offers a comprehensive toolkit for professionals to extract meaningful insights from data.
  4. Many finance, healthcare, and e-commerce organizations leverage R for data analysis and decision support.

SSPS

  1. The program employs a point-and-click approach, reducing the need for extensive coding or programming skills. This characteristic makes SPSS an excellent choice for business analytics beginners who need a statistics or programming background.
  2. Participants learn how to import, clean, and manipulate data using SPSS and perform statistical analyses, from basic descriptive statistics to advanced predictive modeling. The course emphasizes hands-on exercises and real-world case studies to ensure learners gain practical experience.
  3. Participants in the PGCP program explore how SPSS can be employed to identify trends, make predictions, and derive valuable insights from data sets. The tool’s versatility allows for the analysis of structured and unstructured data.

Also read- Commerce to Business Analyst: What does the learning journey look like? – Online Manipal

Tableau

  1. This tool’s drag-and-drop functionality allows users to create visualizations without extensive coding knowledge. The platform also provides tutorials, online forums, and documentation, facilitating a smooth learning curve for beginners.
  2. It can transform complex datasets into easily understandable visualizations, fostering better decision-making.
  3. The tool supports real-time data connections, enabling users to make data-driven decisions promptly. It offers scalability, accommodating small and large enterprises in implementing analytics solutions tailored to their requirements.
  4. Professionals utilize Tableau for financial reporting and trend analysis in finance. Marketing teams employ the tool for visualizing customer behavior and campaign performance. Healthcare organizations leverage Tableau to analyze patient data and optimize operational processes. 

SQL

  1. The language is designed to be user-friendly, allowing both beginners and experienced professionals to use it easily. The syntax and the ability to retrieve, manipulate, and analyze data make SQL a valuable tool for anyone looking to harness the power of data.
  2. It is the standard language for interacting with relational database systems, such as MySQL, PostgreSQL, Microsoft SQL Server, and Oracle.
  3. Professionals proficient in SQL can extract valuable database insights and perform data cleaning and transformation. It is extensively used in data warehousing, business intelligence, and analytics projects.
  4. Every organization dealing with data relies on SQL to manage and query databases. Its widespread use is evident in job descriptions for roles such as data analyst, business analyst, and data scientist.

Why master Business Analytics with MAHE?

The Post Graduate Certificate Program (PGCP) in Business Analytics provided by MAHE is structured to equip students with the necessary skills and knowledge to navigate the complexities of modern business data. The program spans over 12 months, allowing participants to delve deep into the subject matter and gain a thorough understanding of various analytics tools and techniques.

With a suggested dedication of 15-20 hours per week, students can tailor their learning experience according to their schedules. The course fee is INR 65,000 per semester, with a total program cost of INR 1,30,000. MAHE provides an option for monthly installments, with an EMI starting as low as INR 10,833.

Moreover, the institution has included free access to paid Coursera content. This partnership expands the learning resources available to participants to complement the program’s curriculum.

Conclusion

In conclusion, the analytics tools taught in MAHE’s PGCP program in Business Analytics represent a comprehensive and cutting-edge array of resources. It empowers students with the skills and knowledge needed to thrive in the dynamic field of business analytics. Therefore, participants are exposed to diverse tools that cater to various aspects of data analysis, visualization, and interpretation throughout the program.

Also read- Six reasons why you should pursue a master’s degree in business analytics – Online Manipal

Disclaimer

Information related to companies and external organizations is based on secondary research or the opinion of individual authors and must not be interpreted as the official information shared by the concerned organization.


Additionally, information like fee, eligibility, scholarships, finance options etc. on offerings and programs listed on Online Manipal may change as per the discretion of respective universities so please refer to the respective program page for latest information. Any information provided in blogs is not binding and cannot be taken as final.

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