Dear data science enthusiasts, as September ends, are you plannings to imbibe some learning before entering a new month? If yes, then we have our upcoming DataHour sessions lined up to amp up your learning experience. With new data science topics every day, Analytics Vidhya brings to you special learnings from industry experts that can add magic to your resume. Check out the list for upcoming DataHour below, and register yourself now! Prerequisites for registering: Enthusiasm to learn Data Science
For whom is this DataHour for?
- Students and Freshers with an interest in Data Science.
- Data science professionals who want to accelerate their career growth
DataHour: Classification ML Model from Scratch
Understanding the reasoning underlying the methods used to develop machine learning models is not enough to create an efficient ML model. An efficient ML model requires sufficient data preparation and classification before being input into a specific algorithm. Kartik will walk you through the fundamentals of being a data scientist/ML specialist in this DataHour. He will also demonstrate how to create Classification ML models from scratch. 
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Learn from Kartik Garg, an engineer by trade and a passionate mentor, now working as a data scientist for American Express and a data analytics tutor for Udacity. He has worked with both services and product-based organizations, where he designed and delivered E2E Data Science & ML-based solutions (product development) in the Commercial Services & Logistics domain to improve data processing efficiency, accuracy, and utility.
DataHour: A Day in the Life of a Data Scientist
Data Scientist is one of the most in-demand careers nowadays. Though the occupation is interesting, do you know what it takes to become a Data Scientist and how to get there? Mukesh will explain in this DataHour what is expected of a normal Data Scientist and how you may meet these expectations and flourish in this industry. He will advise you on how to prepare for technical interviews and implement Data-Driven Innovation. In this session, he will offer his unique insights from 27 years of working with premier Data-Driven Innovation businesses such as Atos, Microsoft, Jio, NICE, and VFS Global.
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The data science expert Mukesh Jain is the Chief Technology and Innovation Officer for Capgemini in India. He is a Techno-Business Leader with over 25 years of experience in Digital Transformation, Product Engineering, Large-Scale Development, Big Data Analytics, AI, IoT, Blockchain, Chatbots, Advertising, FinTech, MarTech, Social, Media, Cloud, SaaS, Mobility, Product Quality, setting up & managing Large GIC in India, leading business globally, and delivering innovative results.
DataHour: Model Guesstimation (MLOps)
The data and model had a large amount of information that needed to be presented to the user for better comprehension prior to effective deployment. These are critical goals for a machine learning system to attain. By examining these reports, you may assess whether the selected model is ready for deployment or if it is merely a defined use case and model that cannot be implemented and produced.
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Tushit Dave is an expert in this field. He is presently employed as a Lead Data Scientist at HCL Technologies and has over ten years of expertise in AI Product Development and Research. He has worked with a number of well-known companies, including Emerson, Endress+ Hauser, Danaher, and INSOFE.
DataHour: Getting Started with AWS EC2
Amazon Elastic Compute Cloud is a component of Amazon.com’s Amazon Web Services cloud-computing infrastructure that allows users to rent virtual processors to run their computer applications. Aman will teach everything about Amazon Web Services Elastic cloud in this DataHour, from what it is to how you can utilize it. He will also discuss the capabilities and applications of AWS EC2. 
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Aman Kesarwani is the founder of Let’s Grow more. He is an influential speaker, educator, and strong influencer with a LinkedIn community of over 40K members. He has extensive experience in the disciplines of Cloud Computing, Python Development, and Data Science. He has served as a keynote speaker for several organizations.
DataHour: Intelligent Knowledge Mining with Azure NLP and Graph databases
Portfolio managers have searched and sorted a collection of over 5 million reports collected over the years using key words and key phrases for performing analysis. However, as technology has advanced, portfolio managers have begun to use a document search engine with Azure Cognitive search for this activity, allowing them to search earnings call transcripts for firms they cover. With the introduction of BERT, it is now possible to extend the simple keyword search to a much more complex semantic search in which users can search documents based on similar words and phrases such as searching for “electric cars” may also highlight related terms such as “Tesla” or searching for “Lithium” may prompt reports related to “ionic batteries” and so on.
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Priyanka Shah is currently employed at Avanade as a Group Manager. Using over ten years of experience in client/server, web-based, and n-tier application analysis, design, and development in both Java and C#.net technologies, as well as UI Frameworks like Angular, Mobile development with NativeScript, and so on. She is also an expert in data science and a frequent blogger on AI/ML topics.
DataHour: Visualizing Data using Python
Data visualization is the portrayal of data in the form of graphs, charts, lines, and so on. It enables analyzing and spotting patterns, trends, and outliers in massive data sets simple. It aids us in comprehending the facts and drawing conclusions from it.
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Learn from Jaiyesh Chahar, a data scientist at Siemens and a Python and Data Science Community mentor for the Oil and Gas Industry. Petroleum from Scratch co-founder: The venture is focused on mentoring the community in key Petroleum Concepts and Data Analytics Skills, assisting students and professionals in acquiring the skills required for Industry 4.0.
DataHour: DCNN for Machine RUL Prediction using Time-series Data
RUL is the remaining time or cycles the machine is likely to operate without failure. By estimating RUL, the operator can decide the frequency of scheduled maintenance and avoid unplanned downtime.
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Jidhu Mohan M is currently working as Data Scientist with IBM System Labs. He has been working as an integral part of corporate research/innovation divisions for more than a decade now, with expertise in multi-disciplinary research fields like Industrial AI, Deep Learning, Machine Learning, NLP, KG, Predictive Modeling, Time Series Forecasting, Reinforcement Learning, Internet of Things (IoT) and Product Engineering. He has built multiple product MVPs/PoVs deployed and have generated new business avenues.
Conclusion
So, if you want to add new skills to your resume, then Register now and grab this amazing opportunity to learn with the experts. If you’re attending this session and have some questions about this topic, please send them to us at [email protected], or ask directly to the speaker during the session.
If you missed any past episodes of ‘The DataHour,’ you may watch the recordings on our YouTube channel or read the synopsis here.
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If you’re having trouble enrolling or would like to conduct a session with us. Contact us at [email protected].
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