Getting Started with Data Analytics Platform Zero Basics Quick Tips

for zero-based professionals or entrepreneurs, data analytics ability has become one of the essential core skills, but in the face of a wide variety of data analytics platforms on the market, many people do not know where to start. This article will sort out the practical skills for zero-based users to get started quickly from multiple dimensions such as platform selection, basic operation, and practical application. It will help everyone avoid the misunderstanding of entry, effectively master the core capabilities of the data analytics platform, easily complete the basic data analytics work, and provide data support for work decisions.

How to choose a data analytics platform that fits your needs?

choosing the right data analytics platform is the first step to getting started, choosing the wrong platform will not only increase the difficulty of learning, but also may not meet the actual needs.

1, preferentially select low-code or zero-code types

zero-based users do not need to tear complex code-based data analytics platform, should prefer low-code or zero-code products, such data analytics platform usually has a visual drag and drop interface, no need to master programming knowledge to complete data import, cleaning and analysis operations, greatly reducing the entry threshold, allowing users to quickly obtain data analytics results, build confidence in learning.

2, combined with its own scene matching function module

different industries have different data analytics requirements, such as e-commerce users need modules that focus on sales data and user behavior analysis, while administrators may need report generation and data aggregation functions more. When choosing a data analytics platform, you must first clarify your core requirements, check whether the platform has corresponding functional modules, avoid paying for unnecessary functions, and ensure that the platform can cover the subsequent business development needs.

2, data analytics platform basic operation quickly get started

master the core basic operations of the data analytics platform is the premise of completing the data analytics task, and this part is also the core learning focus of the introductory stage.

1, Quickly complete data import and cleaning

most data analytics platforms support data import in common formats such as Excel and CSV, and some platforms can also connect with enterprise ERP and CRM systems to achieve data synchronization. After importing data, basic data cleaning must be completed first, such as deleting duplicate values, completing missing data, and unifying data formats. This step can avoid wrong results in subsequent analysis. Data analytics platforms usually provide shortcuts for one-click cleaning. Users with zero basics can start with these functions first.

2, master the visual chart making method

visualization is one of the core advantages of the data analytics platform, which can transform boring data into intuitive charts. Zero-based users can start learning from basic charts such as bar charts, line charts, and pie charts. The chart production process of each data analytics platform is roughly similar. Just drag and drop the data fields to be analyzed to the corresponding area to automatically generate charts. You can also adjust the chart style, color scheme and labels according to your needs to improve the professionalism of data display.

3, data analytics platform practical application skills

master the basic operations, you need to consolidate your skills through practical exercises and solve practical problems with the data analytics platform in order to truly complete the leap from entry to start.

1, start with a single-dimensional fundamental analysis

zero-based users don't try complex multi-dimensional analysis at the beginning, start with simple analysis of a single dimension, such as using data analytics platform to count monthly sales, user gender distribution, etc. This kind of analysis operation steps are simple, can quickly verify the data results, at the same time familiar with the logical thinking of data analytics platform, lay the foundation for subsequent complex analysis.

2, using preset templates to improve analysis efficiency

many data analytics platforms will provide industry preset templates, such as e-commerce sales report templates, human resources attendance analysis templates, etc. Zero-based users can directly apply these templates, just replace their own data, you can quickly generate professional analysis reports, not only save operation time, but also learn professional data analytics logic, understand the data analytics ideas in different scenarios.

4. Pit avoidance guide after entering the data analytics platform

in the early days of using the data analytics platform, users are prone to fall into some misunderstandings, which affect the learning progress and the accuracy of the analysis results, and need to understand and avoid in advance.

1, avoid excessive pursuit of complex analytical models

some users are familiar with the basic operation of the data analytics platform, they will be eager to try complex machine learning models or advanced algorithms, but the zero-based stage should pay more attention to the polishing of basic analysis capabilities. Excessive pursuit of complex models will not only increase the difficulty of learning, but also may cause distortion of analysis results due to lack of understanding of model logic, which will affect the practicality of data analytics.

2, pay attention to the accuracy of data sources

the premise of data analytics is that the data is accurate, many users in the use of data analytics platform, easy to ignore the data source verification work. Before importing data, it is necessary to confirm whether the data collection channel is formal, whether the data is missing or wrong, to avoid using the wrong data for analysis, otherwise even if the operation of data analytics platform is standardized, it will not be able to get valuable results.

sum up, zero-based users start with the data analytics platform, starting from the right platform, prioritize the low-code zero-code data analytics platform, and then gradually master the basic operations such as data import and visualization production. Through single-dimensional analysis, apply templates to complete practical exercises, while avoiding misunderstandings such as excessive pursuit of complex models and ignoring data accuracy. As long as you follow this path, you can quickly master the core capabilities of the data analytics platform and use data to empower work and decision-making.