Wondering why a startup should incorporate Data Science in their day to day operations? Don’t know where to find out what the latest trends in the Data Science field are? What are the top programming languages that you should learn in order to be successful? We’ve got you covered! Here are some of the advancements that have taken place over the past week!
Data Science is not just helpful for tech companies, these days, almost every sector makes use of Data Science. Zank Bennett, who is the CEO of Bennett Data Science is someone who helps entrepreneurs utilize AI in various industries such as ethical treatment of farm animals, fashion and many more. Bennett works with large and small companies alike and ensures that a complicated technology is made easy-to-use for entrepreneurs with little experience in AI. Here’s an interview in talks with Bennett, wherein he explains why a startup should make use of Data Science.
2019 has been a great year in terms of adopting analytics in various sectors as this industry has witnessed a significant growth. A visible shift can be seen towards usage of AI and ML as they are changing the face of all major sectors, from the Indian Government to SMEs. Customer acquisition and personalized products were some of the trends in 2018. AI-push-into-hardware and software were talked about in 2019. Let us take a look at what the trends will look like in 2020. Humanized Artificial Intelligence products, advancements in Natural Language Processing and Conversational AI are just two of the major trends that will take place in the coming year.
When can Data Science be used in SEO? How and why should it be used? These are some of the questions which are answered in this article. According to Google trends, Data Science has been increasing over the years. When Data Science is applied to SEO, it can help in prediction, generation and automation. This, in turn, is helpful because it saves time on daily operations and help in prioritizing your roadmap by highlighting keywords. Algorithms can help label images and this helps optimize alt attributes in a relatively easy way. One of the common uses of SEO for A/B testing is being able to use data from Google Ads such as conversions and CTR to better understand content which performs well.
In a market which is highly competitive, and is said to amplify even further, aspirants who want to learn data science should upskill to be able to meet industry demands. There is a gap between the demand and supply ratio of Data Scientists in today’s world and in order to bridge this gap, the perfect opportunity is now. Knowledge about programming languages is a must if you want to progress in this field, so here’s a list of the top 10 Data Science Programming Languages that you can learn. Python, R and Java are some among the list.
AI and ML applications in business and IT, service management and software testing have kept the data revolution moving at a fast pace. Data Science remains a popular area for students who are interested in math and analytics. More and more organisations are hunting for Data Scientists who can help increase efficiency and improve their business operations compared to competitors. Social media is also growing increasingly popular and many people use it as a source for their news and updates. TechBeacon has assembled this list of the leading Data Scientists that you can follow on Twitter.
For more weekly digests on Data Science, watch this space.