Analytics Basics: A Beginner’s Guide
In today’s data-driven world, analytics is a vital skill for anyone who wants to make informed decisions. Whether you’re a business owner, marketer, or simply someone who wants to understand the world around you better, learning the basics of analytics can be incredibly valuable.
What is analytics?
Analytics is the process of collecting, organizing, and analyzing data to gain insights and inform decision-making. It involves a variety of techniques, including:
- Data collection: This involves gathering data from various sources, such as surveys, website traffic, and social media.
- Data cleaning: This involves cleaning and preparing the data for analysis, which may involve removing errors and inconsistencies.
- Data analysis: This involves using various statistical and analytical techniques to extract meaning from the data.
- Data visualization: This involves creating charts, graphs, and other visual representations of the data to communicate insights effectively.
Types of analytics
There are many different types of analytics, each with its own specific focus. Some of the most common types include:
- Web analytics: This type of analytics focuses on analyzing website traffic data to understand how visitors are using a website and improve its performance.
- Marketing analytics: This type of analytics focuses on tracking the effectiveness of marketing campaigns and identifying areas for improvement.
- Social media analytics: This type of analytics focuses on measuring the impact of social media activity and identifying trends.
- Financial analytics: This type of analytics focuses on analyzing financial data to make informed investment decisions.
- Business intelligence (BI): This type of analytics focuses on providing insights into an organization’s performance to support strategic decision-making.
Benefits of using analytics
There are many benefits to using analytics, including:
- Improved decision-making: Analytics can help you make better decisions by providing you with data-driven insights into your situation.
- Increased efficiency: Analytics can help you identify areas where you can be more efficient and make changes to improve your performance.
- Reduced costs: Analytics can help you identify areas where you can save money and reduce your expenses.
- Increased customer satisfaction: Analytics can help you understand your customers better and make changes to improve their satisfaction.
- Competitive advantage: Analytics can give you a competitive advantage by helping you identify trends and opportunities that your competitors may miss.
Getting started with analytics
There are many resources available to help you get started with analytics. Here are a few tips:
- Start by defining your goals. What do you want to achieve with analytics? Once you know your goals, you can start to identify the data you need to collect and the tools you need to use.
- Choose the right tools. There are many different analytics tools available, both free and paid. Some popular options include Google Analytics, Microsoft Power BI, and Tableau.
- Learn the basics of data analysis. There are many online courses and tutorials available that can teach you the basics of data analysis.
- Practice, practice, practice! The more you use analytics, the better you will become at it.
Conclusion
Analytics is a powerful tool that can be used to gain insights into any situation. By learning the basics of analytics, you can make better decisions, improve your performance, and gain a competitive advantage.
If you’re interested in learning more about analytics, here are a few resources to get you started:
- Google Analytics Academy: https://analytics.google.com/analytics/academy/
- IBM: Data Analytics Basics for Everyone: https://www.edx.org/learn/data-analysis
- CareerFoundry: What is Data Analytics? A Complete Guide for Beginners: https://careerfoundry.com/en/courses/become-a-data-analyst/
- Usability.gov: Web Analytics Basics: https://www.usability.gov/what-and-why/web-analytics.html
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It wasn’t my first time, I have done this before. This time was different. My heart fell almost to the floor. Crypto is falling.
Back in 2017 I was one of those newbies who invested in bitcoin during the 20k bullrun. It felt magical. The math behind percentages and group psychology completily got my curious mind.
Yes, earlier in 2018 I realized it was too late to learn about market cycles and stop loss. Almost a year later I learned about shorting and then I realized … we all behave like waves.
Are we really mini waves that materialized at this micro levels of existance compare to the universe? We are the children of a big bang after all.
- Crypto
- OTC
- ETF
Tasks
- Passioned about data and statistics?
- Do you spend time imagining how best to visualize data? Are you dedicated to transforming data into information, information into knowledge, and knowledge into informed action?
- Data analyst to help transform raw performance data into intelligible information that can be used to improve your business processes
- The data analyst gathers information from various sources, and interpret patterns and trends.
- Responsible for reporting information in ways that it can be assimilated quickly and effectively
- Dedicated to helping customers win and maintain contracts
- Focus is on implementing, monitoring and reporting customers’ green, sustainable business-management practices
- Acquiring and “scrubbing” data from primary and secondary data sources
- Interpreting data and analyzing results using statistical techniques
- Developed analysis and reporting capabilities; providing on-going reports and developing new reports as needed
- Identify, analyze, and interprete trends and patterns in complex data sets
- Researching performance analytics from related businesses and industries
- Worked with management to prioritize business and information needs
- Identify and implement process improvement opportunities
- Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy
- Technical expertise regarding data models, data mining and data segmentation techniques
- Strong knowledge of Microsoft SQL and experience with one or more reporting packages
- Highly skilled in the use of the Microsoft Office suite of applications
- Self-motivated and detail oriented; excellent organizational and time-management skills with a proven ability to complete projects on a deadline
- Demonstrated aptitude for proactive problem-solving
- Excellent oral and written communication skills
- Collaborative working style with a “can do” attitude