Introduction To Data Analytics: Technologies, Jobs and Careers
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Nowadays, Data Analytics has become a sort of a buzzword in the data science industry. Just have a look at any of the job websites, and you will see that there are many vacancies in data science. Even Harvard University has labelled it as one of the hottest job fields in the USA, and India is also a part of the same trend.
So, what is the reason behind this craze for data analytics and data science jobs? Let’s have a look.
What is Data Analytics, and what does a data analyst do?
Data Analytics is a subset of Data science. It is where raw data is cleaned, analysed, interpreted and displayed using several approaches with the help of business intelligence tools. These data analysis tools transform raw data into interpretable information that aids in making successful decisions.
But how is the data presented? Raw data is converted into meaningful information, statistics and explanations with the help of tools and techniques. There are multiple tools that data analysts use for generating all the interpretations of data.
At the same time, there is some programming expertise that a data analyst requires. For example, they could learn either of the two programming languages, R and Python, to process the data. For storing this data, they could use SQL. But the entire tech tools a data analyst needs are mentioned in the next section. So, just continue to read the topic till the end.
Technologies employed by Data Analysts
Several tech tools and programming languages can make the life of a data analyst easier. As already mentioned, data analysts have to process raw data and use it to generate various graphical representations. For that, they need to –
- Identify the data they require
- Collect raw data from the specific source they have identified
- Clean the data and remove the inconsistencies
- Analyse the data
- Interpret the results
To perform these functions, data analysts use several tools. First of all, let us delve deeper into the programming languages that come in handy.
- Hadoop for big data
The best thing about these programming languages is that there are multiple online resources to master these programming languages. You will find millions of tutorials to learn Python online.
Apart from the programming languages, you need to master some of the tools that are mentioned below:
- Google Sheets
- Microsoft Excel
- SAS(Statistical Analytical System)
- Microsoft Power BI
- Jupyter Notebooks
Mastering these tools and programming languages is quite important because they help you by making your job easier. You get to learn all these in a good data analytics certification course, and you can get in touch with us at Imarticus Learning.
Jobs for Data Scientists
Data science jobs stretch across various sectors. It has always been used for business, in both sales and marketing. Not only that, it is also handy for retail so that the inventory can be managed. Apart from business, it is used in medical infrastructure, operation research, finance and allied sectors. It is also being used in the entertainment field for various data-based jobs, especially for calculating the TRP of various shows.
Now it is also being used in education, law, security, automobile industry, energy sector supply chain, social media and in various fields of research. Data analysis has crept into almost every industry as it is finding a lot of applications in various fields.
But which are the most popular roles that are also enjoying a huge career and salary growth? Some of these roles are mentioned below:
- Medical and health care analyst
- Market research analyst
- Business analyst
- Business intelligence analyst
- Operations research analyst
- Intelligence analyst
These jobs are the top roles across various industries and job sectors. You will find multiple listings of these roles in all the leading job portals. Some of the beginner roles start above the ₹5,00,000 pay bracket. However, if you have completed a good data analytics certification course, then you will be able to command a good salary from your employing organisation.
The overall career of a Data Analyst
Choosing data analysis as a career path is a great decision, especially in the current market. After bagging a beginner role, try to gain more technical skills. Then you move to the position of a data scientist.
But there is a clear bifurcation of the career paths. For example, if your interest largely lies in statistics and data analysis, then try out business intelligence and analysis. But if you love the tech side, pick data science and data engineering as your career.
To conclude, the opportunities for data science jobs in the current scenario are increasing every year and are slated to grow even further in the coming years. So, being prepared with the necessary knowledge and technical know-how will greatly boost your career. In this regard, you can always look at the Post Graduate Program in Data Analytics and Machine Learning from Imarticus Learning to enhance your skill set.