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What you’ll learn
Tools and Technologies
Excel
Enhance your data analysis skills by leveraging Excel's advanced functionalities, formulas, and visualization tools to extract valuable insights and make data-driven decisions.
SQL
SQL (Structured Query Language) is a fundamental component of a data science course, teaching students how to efficiently retrieve, manipulate, and analyze data stored in relational databases.
Reporting Analyst
In a Reporting Analyst data science course, students learn how to collect, analyze, and present data in a meaningful and actionable manner, focusing on generating reports and visualizations to support decision-making processes.
Tableau
In a Tableau data science course, students learn how to leverage the Tableau software to create interactive and visually appealing data visualizations, dashboards, and reports for effective data analysis and communication.
Power BI
A Power BI data science course equips students with the skills to utilize the Power BI platform for data visualization, data modeling, and creating interactive reports and dashboards for data-driven decision-making.
Business Analyst
In a business analyst data science course, students learn how to apply data science techniques and tools to extract insights, identify trends, and make informed business decisions using data-driven approaches.
Python
Python is a widely used programming language in data science courses, teaching students the fundamentals of Python programming and its application in data manipulation, analysis, and machine learning algorithms.
Machine Learning
Machine learning is a core component of a data science course, teaching students the principles and algorithms used to build predictive models, make data-driven predictions, and automate decision-making processes.
Deep Learning
Deep learning, a subset of machine learning, is covered in advanced data science courses, focusing on neural networks, deep neural architectures, and training algorithms to model and understand complex patterns in large datasets.
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Years Experience into
Data Analytics
Data Analytics
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Years Experience into Training
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Corporate Batches
Regular Batches in IBM & Oracle
Regular Batches in IBM & Oracle
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Participants
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Corporate Companies
Learning Path
Training Program Key Features
Course Duration - 6 Months
Corporate Trainer and Author
Venkata Reddy Konasani is a highly regarded corporate trainer with a wealth of experience in the field of machine learning and data science. His expertise in this area is reflected in the fact that he has conducted over 200 batches of corporate and retail training sessions over the past decade.
Experience
- 11 Years into Data Analytics and 5+ Years into Training
- Worked for HP, HSBC and Citibank
- Rich industry experience as an applied Data Analyst and Data Scientist
- Experience in Credit risk model building, market response model building, Social media analytics, revenue forecasting, and machine Learning
- Post Graduate in Applied Statistics and Informatics from IIT Bombay
Books By Venkat Reddy Konasani
TESTIMONIALS
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