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.
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
This is a very solid course in Machine Learning using R. I have looked at and worked with many other available courses but I would put this one right at the top. I am surprised that there aren't many more students enrolled.
Sam M
The course is blend of theory and practical problems.very good course for students and working professionalswho want to learn data science methods.Thank you Statinfer Solutions for a wonderful course.
Vijay Chandra K P
Really good course. Covers exactly what it promises, which is text mining for beginners! There is no redundant information, such as introduction to python or extensive no sense theoretical talks. Someone who knows python and data modeling, just comes here to learn text mining.
Asimina Simota
It is very good. We have data set for practice. Good coverage of all the topics and quiz. Team used simple words. This is by far one of the Best online courses, I ever had.
Once again, thank you for a nice course.
Ravi Kumar
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