“If you torture the data long enough, it will confess.”- Ronald Coase
A Data Analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem.
They work in many industries, including business, finance, criminal justice, science, medicine, and government.
What kind of customers should a business like Lead-Leap Data Analytics School target in its next ad campaign?
What age group is most vulnerable to a particular disease in Nigeria?
What patterns in behavior are connected to financial fraud among youths in Nigeria?
These are the types of questions you might be pressed to answer as a Data Analyst.
What is Data Analytics?
Analytics is defined as the scientific process
of transforming data into insight for making better decisions
The goal of analytics is to gain insight from data which can be used to make improvements or changes to businesses
The process of analyzing data typically moves through five iterative phases:
👉Identify the data you want to analyze
👉Collect the data
👉Clean the data in preparation for analysis
👉Analyze the data
👉Interpret the results of the analysis
Data analysis can take different forms, depending on the question you’re trying to answer.
What tools do data analysts use?
During the process of data analysis, analysts often use a wide variety of tools to make their work more accurate and efficient.
Some of the most common tools in the data analytics industry include:
👉Microsoft Excel
👉Microsoft Power BI
👉Google Sheets
👉SQL
👉Tableau
👉R or Python
👉SAS
👉Jupyter Notebooks
Data analysts are in high demand anywhere in the world
The average base salary for a data analyst in the US is $69,517 in December 2021, according to Glassdoor.
This can vary depending on your seniority and skills on data analytics, where in the US you’re located, and other factors.
At Lead-Leap Data Analytics School, we train our students on how to use Microsoft Excel, Power BI and SQL for Data Analytics
About 40% of our students are working as a Data Analyst in US, Canada and UK
Do you have plan to Pivot into Data Analytics?
Join our OCTOBER COHORT.
It is 5 weeks program on Excel, Power BI and SQL
Physical and Virtual classes are available
The training starts on Saturday 28th of OCTOBER, 2023
Call us on +2348062468296 to register
Choose Lead-Leap Data Analytics School
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