Master The Art of Data Analysis: Comprehensive Data Analyst Training Program
Data analysis is one of the skills that have experienced growing demand in almost all business segments.
According to the US Bureau of Labour Statistics, the requirement for data analysts is expected to increase by 26% from 2018 to 2028 and business analysts are expected to grow by 25% between 2020 to 2030.
Data Analytics Course
Data analytics is the discipline that utilizes raw data to get meaningful insights and make informed decision-making, which is pivotal for businesses in the data-driven world today. However, performing data analysis can be a difficult task if there is no clear process in place. With the help of a structured process for data analysis, you can make sure that your insights are correct, reliable, and meaningful.
The six steps that can be followed while conducting data analysis are as follows:
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Research the questions to define the accurate problem
The first step is to accurately define the problem or question. This will help you to avoid getting sidetracked and you can focus on the analysis. This will also assist you in determining the data sources as well as techniques to be used to accomplish the objective. -
Collect and import data
The next step is to collect and import the data from various sources for analysis. The sources can be surveys, spreadsheets, and databases. Also, make sure that the data collected is accurate and relevant. For this, you can use tools like SQL, Python, and R. -
Clean and prepare the data
The third step is the most crucial step because it helps to remove all types of complexities with data, like removing duplicate or missing data, formatting the data, and handling outliers. Proper cleaning and polishing of data will make it accurate and meaningful. -
Exploratory data analysis
The next step is to conduct an exploration of data to determine any type of trends and patterns. This process helps to know the variables that are irrelevant, missing values, how far the data have been spread out, etc. The appropriate tools for this step are Excel, SQL, R, and Python. -
Data visualisation
After performing the exploratory data analysis, the next step is to present it in the form of charts, infographics, plots, etc. The data can be presented in a user-friendly manner. The tools helpful in this step are Excel, Tableau, Python, and PowerBI. -
Interpretation and conclusion
This is the last step of the data analysis process in which the results are analyzed to draw the conclusions. A data analyst is required to determine the limitations and suggest further research. The audience must be provided with clear and concise results along with the implications.
So far, we have understood what is data analysis and the steps to conduct data analysis. There is going to be a huge demand for data analysts and you will be one of them for one of the companies out there in the market.
You must be having a question in your mind: Is becoming a data analyst very hard?
Well, the answer to this question is: No. Learning data analysis and becoming a data analyst can be difficult but it can be accomplished with hard work, dedication, and the right resources. To become a data analyst, you must have technical and analytical skills along with communication skills.
Envision Learning Academy
To learn all the necessary skills for data analysis, you have Canada’s best academy Envision Learning Academy.
Envision Learning Academy offers best data analysis courses for beginners. You also get an access to the data analyst training program online
Here, we have data analyst certification course and placement so that learners can get maximum benefit after getting trained from our academy. We provide the best certification courses for data analytics because here, you’ll engage with real-world projects that surpass industry standards. Additionally, you’ll receive training from top-notch instructors and trainers.
