登录查看更多内容

Here's how you can equip yourself for the rising demand for data analytics skills in the IT industry.

由人工智能和领英社区提供技术支持

In the ever-evolving IT industry, data analytics has emerged as a critical skill. As businesses increasingly rely on data-driven decision-making, the demand for professionals proficient in data analysis is skyrocketing. Whether you're an IT manager looking to stay competitive or an aspiring analyst, equipping yourself with data analytics skills is imperative. By understanding the fundamentals of data manipulation, mastering relevant tools, and staying abreast of industry trends, you can position yourself as an invaluable asset in today's data-centric world.

此文章中的业界达人

由社区从 3 条内容中精选。了解更多

Mehadi Hasan

Asset Disposition Specialist Intern @ Metropolitan Transportation Authority
Ahmad Al-Alaiwat

Hands-on IT Leader | DX | Service Provisioning | Visionary Strategist | Analytical Thinker | Creative Problem Solver |…
Gisele Esteves

Coordenadora de Tecnologia | Software Engineering Coordinator | Head de Quality Assurance e RPA na @PortoBank

1 Learn Basics

Before diving into complex data analytics tools, it's essential to grasp the basics. Start by understanding the principles of data collection, storage, and management. Familiarize yourself with key concepts such as databases, data warehousing, and data mining. It's also important to have a solid foundation in statistics and probability, as they are fundamental to making sense of data patterns and trends. Online courses and tutorials can be great resources to build your foundational knowledge.

添加您的观点

Gisele Esteves

Coordenadora de Tecnologia | Software Engineering Coordinator | Head de Quality Assurance e RPA na @PortoBank
(已编辑)
举报内容
é importantíssimo nos dias atuais que lideran?as de tecnologia consigam transitar, ainda que numa camada supecial, entre diferentes disciplinas, como é o caso da disciplina em quest?o, Dados. O aprofundamento técnico fica a cargo dos especialistas, porém um gestor de TI precisa conhecer fundamentos, estatísticas e uma base técnica que o permita participar e/ou guiar fóruns técnicos com autonomia, e viabilizar a tomada de decis?es mais assertivas, seguras e ágeis no universo coorporativo em constante mudan?a.

已翻译

赞

2 Master Tools

Once you have a firm grasp of the basics, it's time to master the tools of the trade. Learn to use data analytics software such as Excel for basic tasks and advance to more powerful tools like SQL for database manipulation and Python or R for statistical analysis and data visualization. These programming languages offer libraries and frameworks specifically designed for data analytics, which can significantly streamline the process. Regular practice through personal projects or online challenges can enhance your proficiency.

添加您的观点

Mehadi Hasan

Asset Disposition Specialist Intern @ Metropolitan Transportation Authority
举报内容
Once you get the basics down, it's time to get good at the tools you need. Start with Excel for simple stuff, then move on to SQL for handling databases. Learn Python or R for deeper analysis and making cool graphs. These languages have tools that make data work easier. Practice by doing personal projects or online challenges to get better.

已翻译

赞

3 Specialize Wisely

Data analytics is a broad field, and specializing in a niche can set you apart. Whether it's healthcare analytics, financial data analysis, or marketing analytics, choose a sector that aligns with your interests and career goals. Specialization often requires additional knowledge of industry-specific practices and regulations, which can be acquired through targeted training programs or industry experience. Specializing allows you to become an expert in a particular domain, making your skills more attractive to potential employers.

添加您的观点

4 Follow Trends

The IT industry is dynamic, with new technologies and methodologies emerging regularly. To stay relevant, you must keep abreast of the latest trends in data analytics. This includes familiarizing yourself with advancements in big data technologies, machine learning algorithms, and artificial intelligence applications in data analysis. Subscribing to industry publications, attending webinars, and participating in professional forums can help you stay informed and adapt to changes swiftly.

添加您的观点

5 Gain Experience

Nothing beats hands-on experience when it comes to mastering data analytics. Look for opportunities to work on real-world data sets through internships, part-time jobs, or volunteer projects. Tackling actual data problems will help you understand the nuances of data analytics work and develop practical skills that are highly valued by employers. Additionally, documenting your projects in a portfolio can showcase your capabilities to potential employers or clients.

添加您的观点

6 Network Smartly

Networking can play a pivotal role in your journey to acquire data analytics skills. Connect with professionals in the field through social media platforms, professional associations, and conferences. Engaging with a community of data analysts allows you to exchange knowledge, learn from others' experiences, and even discover job opportunities. Remember, the relationships you build today could lead to collaborations or career advancements tomorrow.

添加您的观点

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Ahmad Al-Alaiwat

Hands-on IT Leader | DX | Service Provisioning | Visionary Strategist | Analytical Thinker | Creative Problem Solver | Adoptable Quick Learner
举报内容
If you are a mature IT manager, you only need to know the important highlights. Hire a young talented expert with the right attitude and let him do the quality work you would expect from yourself. There is no shame in being a bit of a generalist as you rise up the ladder. Your existing knowledge of the basics can be augmented with executive summaries of the latest trends. You invaluable experience can guide new talent into their roles as new-field pioneers in your team.

已翻译

赞

IT Management

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

Here's how you can equip yourself for the rising demand for data analytics skills in the IT industry.

1

2

3

4

5

6

7

1 Learn Basics

2 Master Tools

3 Specialize Wisely

4 Follow Trends

5 Gain Experience

6 Network Smartly

7 Here’s what else to consider

IT Management

给文章评分

感谢您的反馈

更多IT Management相关文章

更多相关阅读内容

Here's how you can equip yourself for the rising demand for data analytics skills in the IT industry.

1

2

3

4

5

6

7

1 Learn Basics

2 Master Tools

3 Specialize Wisely

4 Follow Trends

5 Gain Experience

6 Network Smartly

7 Here’s what else to consider

IT Management

给文章评分

感谢您的反馈

查看其他技能