Category: data science

What are the core statistical concepts for data scientists? Introduction Sampling and Population Normal distribution Central tendency Central Limit Theorem/ Law of Large Numbers Variance and standard deviation Skewness Correlation and Covariance P-value Expected value of random variables Conditional probability Bayes Theorem Data science is […]

Data Science Industry – Year 2022 (Predictions) Introduction Data Science Industry Predictions Year 2022 If the COVID-19 pandemic in 2020 demonstrated one thing, it’s how data is more critical than ever for businesses. To get the most out of this data, shops will need to […]

Complete Guide for Switching Your Career in Data Science: Data Analyst Role Introduction What is the career path of a data analyst? How can you become a data analyst? Education prerequisites to become a data analyst Skills needed to become a data analyst Technical skills […]

Complete Guide for Switching Your Career in Data Science : Data Architect Introduction Is a data architect role a good career option to explore? Who would use a data architect? Who is a data architect? What do data architects do? How much does a data […]

What are Predictive Analytics Techniques? In an ever-evolving digital world, customers are ready to switch to a new brand in the blink of an eye. In this context, firms must provide their customers with an outstanding customer experience every time. In the past, it was […]

Complete Guide for Switching Your Career in Data Science: Business Intelligence Analyst Introduction Who is a Business Intelligence Analyst? What do BI analysts do? How much does a BI analyst earn? What is the career path of a BI analyst? How do you become a […]

What is TensorFlow and how does it work? Introduction What is TensorFlow and how does it work? What is it? How does it work? What is TensorFlow? How does TensorFlow Work? TensorFlow Benefits TensorFlow versus Competition Takeaway Introduction If you are interested in machine learning, […]

Crucial Programming concepts for Data Scientists Introduction Understand programming basics for a career as a data scientist Examples of Programming Language Know the Basics Benefits of knowing programming for a data scientist Programming concepts are crucial as a data scientist Python R language Structured Query […]

Top 13 Do’s and Don’ts for Hosting a Workshop on Analytics Topic Introduction Importance of the 5 Ws and 1 H Determine the workshop goals Choose a Type Build a Team Research Your Audience Outline Your Budget Create An Agenda Learn From Your Competition […]

Demand for data science talent is on the rise, and with it comes a need for more data scientists to fill job openings. While the application of data science is a unique discipline, it does not exist within one industry or sector alone. Data scientists may have a significant influence on just about every industry. If you’re a young data scientist or planning to become one, you already know that education is the first step.[…]

How to Become a Data Scientist Without Any Prior Knowledge of Programming/coding. Introduction About Data science Skills you need to become a successful Data Science professional Takeaway Introduction While coding has been the go-to skill for data science in recent years, this is […]

The handling of big data may be complex. Data scientists must store and process massive amounts of data, which might sometimes be a problem. Furthermore, keep the gathered data usable for other company activities alike. Data scientists have learned how to get around these barriers. They can extract value from vast data and convey it to stakeholders in an easy-to-use interface. It is a significant step forward for companies to advance their business.[…]

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