Why do you need to Analyse better?

IT and Analytics refers to the combination of information technology and data analytics. It involves using technology to collect, manage, and analyse data in order to gain insights and make better decisions.

Subjects studied under IT and Analytics typically include:

1. Data management: It involves learning how to collect, store, and manage large amounts of data from various sources.
2. Data analysis: This involves learning how to use statistical methods and data analysis tools to uncover patterns in the data.
3. Programming: It involves learning how to write code in order to automate data analysis tasks and build data-driven applications.
4. Data visualization: This involves learning how to create visual representations of the data in order to communicate insights to others.
5. Business acumen: It involves driving actionable recommendations from data-driven insights in the context of the business.

IT and Analytics is good if you enjoy problem-solving, critical thinking, and working with numbers. It is also a great if you are interested in pursuing a career in fields such as data science, business analytics or data engineering.

Professionals in IT and Analytics are in high demand, with many job opportunities available in a wide range of industries. According to the Bureau of Labor Statistics, employment in IT occupations is projected to grow 11% from 2019 to 2029, faster than any occupation. This growth is driven by the increasing use of technology in business and the growing importance of data-driven decision-making.

Certification Courses

There are many upskilling courses and certifications available for Business IT and Analytics professionals. Here are some popular ones:

1. Certified Business Analysis Professional (CBAP): This certification is offered by the International Institute of Business Analysis (IIBA). It covers topics such as requirements management, business analysis planning, and business process improvement.
2. Certified Analytics Professional (CAP): This certification is offered by the Institute for Operations Research and the Management Sciences (INFORMS) and is designed to validate the skills of analytics professionals. It covers topics such as data management, predictive modeling, and data visualization.
3. Project Management Professional (PMP): This certification is offered by the Project Management Institute (PMI) and is designed for project managers. It covers topics such as project planning, scheduling, and risk management.
4. Microsoft Certified: Azure Data Scientist Associate: This certification is offered by Microsoft and is designed for data scientists. It covers topics such as data exploration, data preparation, and machine learning.

Alternatives

There are many online upskilling courses available for IT and Analytics. Here are some of the popular ones:

1. Coursera: Coursera offers a wide range of courses and specializations in IT and Analytics, including data science, machine learning, and business analytics. Coursera also offers a range of certifications and degrees that are entirely online.
2. Udacity: Udacity offers a range of courses and nanodegrees in IT and Analytics, including data analysis, machine learning, and artificial intelligence. These courses have projects that give students real-world experience working with data and technology. Udacity also offers career services to help students find jobs in the field after completing their courses.
3. edX: edX offers a range of courses and micro-masters programs in IT and Analytics, including data science, artificial intelligence, and business analytics. These courses by instructors from top universities around the world, offer a mix of interactive quizzes and hands-on projects. EdX also offers a range of certifications and degrees that are entirely online.
4. LinkedIn Learning: LinkedIn Learning offers a wide range of courses in IT and Analytics, including data analysis, business intelligence, and programming languages. These courses are short and focused, with many courses lasting less than an hour. LinkedIn Learning also offers personalized recommendations based on a student’s career goals and interests.

How to Enhance your skills in IT and Analytics

1. Attend conferences and webinars: For example, the annual Strata Data Conference is a popular conference for data professionals, featuring keynote speakers from leading companies such as IBM, Google, and Microsoft. In addition, there are smaller workshops and training sessions on topics such as data visualization, machine learning, and data governance. Similarly, webinars such as the ones offered by the Business Analytics Institute provide valuable insights about the field.
2. Participate in online communities: Communities such as LinkedIn groups, online forums, and social media groups provide opportunities to connect and share knowledge. Similarly, the Reddit community “r/datascience” is a popular forum for data science professionals to share insights.
3. Read industry publications: Reading industry publications such as Harvard Business Review, Forbes, and CIO Magazine can provide valuable insights into the latest trends and best practices in the Business IT and Analytics field. These publications often feature articles and case studies from leading companies and experts in the field.
4. Practice using the latest tools and technologies: There are many online resources and tutorials available that provide step-by-step guides and real-world examples. E.g., Tableau Public, a data visualization tool, offers free online tutorials and a community forum to share work and learn. Kaggle, an online platform for data science competitions, offers a wide range of datasets and tutorials for data science professionals to practice their skills.