Data Science
Experience the true power of Data Science workshop with Anexas!
- English
- 30th December, Monday
4.7
(15,000)
(100,000+ students enrolled)
Description
Anexas understands the importance of staying ahead in today’s competitive world. While generic knowledge is prevalent, it’s the individuals who go beyond and acquire specialized skills who truly stand out. Data Science is one such skill set that can set you apart from the rest.Â
With the growing demand for Data Science in the era of Artificial Intelligence, it’s a wise decision to learn this field. Join our 2-hour session to explore the various technologies that make Data Science a multi-objective course. Gain a solid foundation in the basics and discover why learning Data Science can be a game-changer for your career.
How can you use Data Science at work?
- You will be well versed in the foundation elements of Data Science tools.
- You will learn to understand various data patterns.
- You will understand the different trends in data.
- You will be able to predict profits and sales for your company.
- You will be capable of doing predictive analysis.
- You will be able to calculate risks.
What will you learn in Data Science Training?
- Basics of Artificial Intelligence
- Basics of Probability in Data Science
- Basics of Statistics in Data Science
- Basics of Machine Learning
- Basics of Python
- Basics of Natural Language Processing
Learning from the Best trainer
Amitabh Saxena
Lean Six Sigma Master Black Belt | CEO, Anexas Europe
Get ready to learn from the best! Amitabh Saxena, the CEO of Anexas Europe, is a renowned figure in the quality domain with over 33 years of experience. As the founder of Anexas, he will be your esteemed trainer for the day. Amitabh has made significant contributions to numerous Fortune 100 organizations, including ADNOC, Dell, SABIC, Aramco, Ministry of Health, DP World, Alfuttaim Motors, EMC2, Bank Muscat, TATA Business services, Deloitte, TATA motors finance ltd, Steel Authority of India, Indian railway, Colgate Palmolive, Novartis, Novozymes Denmark, HP, Tech Mahindra, Reliance, Bharat Petroleum, Maersk, Cisco, and many more. Beyond his expertise in quality, Amitabh Saxena is a successful entrepreneur, an Amazon bestselling author of “The Anexas Story,” and a published poet. With his passion, enthusiasm, and dedication, Amitabh brings every concept to life, making learning a fun and exciting experience.
FREE
100%
This workshop includes
- 2 hours of Live interaction
- Study materials
- Admin fee is applicable for certification
- Digital badge
- Q&A Session
- Community Access
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FAQs
Everything you need to know about Data Science.
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Please talk to our friendly team.
Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines elements of statistics, computer science, and domain expertise to analyze and interpret complex data.
Data Science training is ideal for individuals looking to pursue a career in data science or analytics. It is suitable for professionals such as data analysts, statisticians, software engineers, and anyone with a keen interest in data-driven decision-making and problem-solving.
Prerequisites for data science training typically include a basic understanding of mathematics and statistics, as well as some programming experience, preferably in languages like Python or R. Familiarity with data analysis and visualization tools can also be beneficial.
In a data science training course, participants will learn about data manipulation, statistical analysis, machine learning, data visualization, and data mining. The course covers tools and technologies such as Python, R, SQL, Hadoop, and Tableau, and teaches how to apply these tools to solve real-world data problems.
Data Science training equips you with the skills to analyze large datasets, build predictive models, and derive actionable insights, making you highly valuable in today’s data-driven world. It can open up career opportunities in various industries, including finance, healthcare, technology, and marketing, with roles such as data scientist, data analyst, machine learning engineer, and business analyst.
