Category Archives: data engineering

How to become a Data Analyst? Skills & Experience

data analyst skills experience jobs salaries

Do you want to become a data analyst? It’s a great career choice! Data analysts are in high demand, and with the right skills, you can make a good living doing something you love. In this blog post, we will discuss the skills required for data analysis, and provide some tips on how to acquire them. We will also recommend some courses and books that can help you get started on your data analyst career path! What is data analysis and what do data analysts do? Data analysis is the process of inspecting, cleansing, transforming, and creating data visualizations with the goal of discovering useful information, suggesting conclusions, and supporting …

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Posted in Big Data, Career Planning, Data, Data analytics, data engineering, Data Mining. Tagged with , .

Data Analyst vs Data Scientist vs Data Engineer

data analysts vs data scientists vs data engineers

There is a lot of confusion surrounding the job designations or titles such as “data analyst,” “data scientist,” and “data engineer“. What do these job titles mean, and what are the differences between them? In this blog post, we will define each title and discuss the key distinctions between them. By the end of this post, you will have a better understanding of which title is right for you! What is a data analyst? Data analysts are those who are responsible for collecting, organizing, and analyzing data. They use their findings to help businesses make better decisions. Data analysts are part of data management / governance teams. The following represents …

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Posted in Data, Data analytics, data engineering, Data Science.

Data Analytics – Different Career Options / Opportunities

data analytics career options

Data analytics career paths span a wide range of career options, from data scientist to data engineer. Data scientists are often interested in what they can do with the data that is analyzed, while data engineers are more focused on the analysis itself. Whether you’re looking for a career as a data scientist, data analyst, ML engineer, or AI researcher, there’s something for everyone! In this blog post, we will different types of jobs and careers available to those interested in data analytics and data science. What are some of the career paths in data analytics? Here are different career paths for those interested in data analytics career: Data Scientists: …

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Posted in AI, Career Planning, Data analytics, data engineering, Data Science, Machine Learning. Tagged with , , , .

Data Quality Challenges for Analytics Projects

data quality challenges for analytics projects

In this post, you will learn about some of the key data quality challenges which you may need to tackle with, if you are working on data analytics projects or planning to get started on data analytics initiatives. If you represent key stakeholders in analytics team, you may find this post to be useful in understanding the data quality challenges.  Here are the key challenges in relation to data quality which when taken care would result in great outcomes from analytics projects related to descriptive, predictive and prescriptive analytics: Data accuracy / validation Data consistency Data availability Data discovery Data usability Data SLA Cos-effective data Data Accuracy One of the most important …

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Posted in Analytics, data engineering, Data Science. Tagged with , , .

Data Science vs Data Engineering Team – Have Both?

Data engineering vs Data Science

In this post, you will learn about different aspects of data science and data engineering team and also understand the key differences between them. As data science / engineering stakeholders, it is very important to understand whether we need to have one or both the teams to achieve high quality dataset & data pipelines as well as high-performant machine learning models. Background When an organization starts on the journey of building data analytics products, primarily based on predictive analytics, it goes on to set up a centralized (mostly) data science team consisting of data scientists. The data science team works with the product team or multiple product teams to gather the …

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Posted in data engineering, Data Science. Tagged with , .