In this video we are going to define the job description of a data analyst, what a data analyst does, and the best online course to become a data analyst.
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Currently the average pay for a data analyst is $76,419 on the button, according to glassdoor
I receive a lot of questions about what it takes to become a data analyst and what is a data analyst.
Clearing up what a data analyst does everyday and what that description means to someone looking to enter the data science industry
What will you actually be asked to do on the day to day as a data analyst.
► Top 4 Responsibilities in the Daily Life of a Data Analyst:
1 ) Mathematics
Although mathematics only makes up about 20% of the day to day life of a data analyst. It is still important to have a strong understanding of the foundations of mathematics.
– Most Importantly — Statistics
Data analytics is all about statistics. Most of the statistics will be handled by the tools you are working with, but in order to be a great data analyst it is best to know why the tools are producing specific results. A strong understanding of statistics will be useful to you.
2 ) Computer Programming
You must be able to work proficiently in one or more computer programming languages. This make up for roughly 60%-70% of your daily work. in order to analyze data it must be queried (drawn) from a large data warehouse. You will use computer programming languages such as SQL, Python, and R to query data.
Before we move on let me define the term Query, if it does not resonate with you.
You need strong computer programming skills in order to accomplish this task. As a data analyst you will do a lot of drawing and analyzing data.
► For more info on databases, SQL, and other jargon check out our Video Series on Data Jargon ( )
3 ) Know the Tools of the Trade
Once you query data from the database onto your workspace you will begin to utilize data analytics tools to process, scrub, and analyze data (data Jargon explained on our Video series ^^^). You will be able to perform these tasks by using tools like Hadoop, Open Refine, Tableau, Apache Spark, etc…
As you process the data you will begin to see connections between the data sets. You will see some of the following errors and you will want to remove these in order to ensure that your data analysis is accurate:
– Duplicated data
– Improperly formatted data
– Incomplete data
– Inaccurate data
– This data will corrupt your findings and could possibly lose you client
or employer millions of dollars. Make sure you know how to use
those data analytics tools WELL!
4 ) Communicate and Present Insights
Data Analyst will also be called upon to clearly and consciously present your research to clients, managers, or executives.
Ok, now I know you are curious if you are capable of learning all of these crucial skills. Yes, you can, but there is a clause. You have to learn from the best.
The guys over at Edureka.co are the leading professionals in the big data training industry. Based out of India, home to over 101,000 individuals in the data science industry (at the time of this writing). They are eager to make a way for themselves in the new digital economy. They are on the cutting edge of data analytics and eager to teach it to anyone worldwide.
Testimonies of increased salaries, new employment, and 597,089 (updated) satisfied learners make edureka the best choice to learn the skills you need in the data industry. Question is will you actually do it. Imagine deregulating yourself for the data industry. Right now, it is a black hole, you don’t know what’s inside, but it is screaming opportunity from the darkness.
TURN ON THE LIGHT and break into the data industry. A future proof opportunity for the next decade and beyond.
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