Career Planning

Data Analytics Training Program (Beginners)

Data analytics has become an integral part of businesses today, helping organizations make data-driven decisions that drive success. To become proficient in data analytics and solve complex business problems, it is essential to have a strong foundation in the key concepts and tools of data analytics. My online courses, which cover topics such as data-driven decision making / decision science, business statistics, python programming, machine learning, and business analytics, are designed to help learners of all levels become experts in these areas. Check out this page for detailed information: Become Data Analytics Pro!

Each of these courses is designed to help learners acquire the skills and knowledge necessary to succeed in today’s data-driven world. The courses are designed to be accessible to learners of all levels, including beginners, advanced professionals, and leadership / stakeholders. By taking these courses, learners will gain a deep understanding of key concepts and tools in data analytics, which they can then apply to solve complex business problems.

In the data-driven decision-making course, learners will explore the key principles of data-driven decision-making and learn how to make informed decisions based on data. They will learn how to use data to identify patterns and trends, make predictions, and develop actionable insights.

In the business statistics course, learners will develop a solid foundation in the key concepts and tools of statistical analysis. They will learn how to use statistical methods to analyze data, identify trends, and make data-driven decisions.

In the python programming course, learners will learn the fundamentals of programming in Python. They will learn how to write Python programs, use Python libraries for data analysis, and perform data manipulation and visualization.

In the machine learning course, learners will learn the key concepts and tools of machine learning. They will explore the different types of machine learning, including supervised and unsupervised learning, and learn how to use popular machine learning algorithms such as decision trees and neural networks.

In the business analytics course, learners will learn how to use data analytics to drive business success. They will learn how to identify and prioritize key business metrics, develop data-driven strategies, and use data analytics tools to measure performance and make informed decisions.

All of these courses include case studies that deal with the real-world problems that organizations face. Learners will work on hands-on exercises, which will help them develop the skills and knowledge necessary to apply data analytics to real-world problems.

In conclusion, my online courses in data-driven decision making, business statistics, python programming, machine learning, and business analytics are designed to help learners become experts in these areas. The courses are accessible to learners of all levels, and they include case studies and hands-on exercises that enable learners to apply data analytics to real-world problems. By taking these courses, learners will develop the skills and knowledge necessary to succeed in today’s data-driven world. Drop me a message and we can work together to get you started on your journey towards becoming an expert in the field of data analytics. My email address is ajitesh@gmail.com. You can also connect me on Linkedin and start the discussion ( linkedin.com/in/ajitesh )

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

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