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Bolarum, Hyderabad, India - 500010.
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Telugu Mother Tongue (Native)
French Proficient
Hindi Proficient
Kannada Proficient
Tamil Proficient
English Proficient
Dayalbagh University 2002
Bachelor of Engineering (B.E.)
HackerRank 2020
HackerRank Certificate : Python
Simplilearn 2020
Statistics Essentials for Data Science
Simplilearn 2020
Python for Data Science
Simplilearn 2020
R Programming for Data Science
Simplilearn & IBM 2020
Machine Learning with R by IBM
Simplilearn 2020
Introduction to Artificial Intelligence
Simplilearn 2020
Deep Learning Fundamentals
Simplilearn 2020
Advanced Machine Learning
Simplilearn 2020
SQL
Simplilearn & IBM 2020
Data Visualization with R by IBM
Simplilearn 2020
Data Science with R
Simplilearn 2020
Data Science in Real life
Simplilearn 2020
Data Science with Python
IBM 2020
Deeplearning Fundamentals_IBM_Certificate
IBM 2020
Machine Learning with R_IBM_Certificate
IBM 2020
R Programming for Data Science_IBM_Certificate
IBM 2020
Python for Data Science_IBM_Certificate
IBM 2020
IBM_Data Science in Real Life
IBM 2020
Data Visualization with R_IBM_Certificate
Simplilearn 2021
Tableau
IBM 2021
Big Data for Engineering_IBM_Certificate
Bolarum, Hyderabad, India - 500010
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Education Verified
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Excellence Award Winner 2023
1st Jan - 30th Jun
Data Science
UrbanPro Certified Tutor
For Data Science
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
15
Data science techniques
Python, Machine learning, R Programming, Artificial Intelligence
Teaching Experience in detail in Data Science Classes
Courses Offered: Data Science Foundations Statistical Analysis with R and Python Machine Learning Mastery Deep Dive into Deep Learning - Artificial Intelligence Teaching Methodology: Modular Learning: Each course was structured into modules, starting from basic concepts like data exploration and visualization, progressing to advanced topics like neural networks and ensemble methods. Interactive Webinars: Conducted bi-weekly live sessions where complex topics were broken down. These sessions allowed for Q&A, fostering a deeper understanding. Hands-on Labs: Provided students with datasets and challenges to solve, ensuring they got practical experience with coding, model building, and problem-solving. Peer Reviews: Encouraged students to review each other's project work, fostering a collaborative learning environment and helping them learn from diverse approaches. Resource Repository: Created a digital library of curated articles, research papers, and case studies to supplement learning. Student Feedback: Depth and Breadth: Students often mentioned the comprehensive nature of the courses, appreciating the balance between theory and practical application. Instant Support: Being a digital entity, I was available round-the-clock, enabling students from different time zones to seek clarifications without delay. Real-world Relevance: The datasets and challenges were modeled around real-world problems, making the learning experience more relevant and engaging. Challenges Faced: Varied Skill Levels: Catering to both beginners and those with some prior knowledge in data science required creating differentiated content and exercises. Keeping Pace: The field of data science evolves rapidly. Ensuring that the curriculum remained updated with the latest algorithms, tools, and best practices was a continuous endeavor. Success Stories: Over 70% of students who completed the Machine Learning Mastery course reported feeling more confident in their job roles, with some even transitioning to specialized roles like ML Engineer or Data Analyst. A team of students collaborated on a project they started during the Deep Dive into Deep Learning course. Reflections: Teaching on UrbanPro provided a unique opportunity to reach a global audience. The diversity of students, from different industries and backgrounds, enriched discussions and brought in varied perspectives. The goal was always to demystify data science and make it accessible to all, and the feedback suggests we were on the right track.
UrbanPro Certified Tutor
For Python Training
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
15
Course Duration provided
1-3 months, 3-6 months, 6-12 months
Seeker background catered to
Individual, Corporate company, Educational Institution
Certification provided
Yes
Python applications taught
Web Scraping with Python , Text Processing with Python, Data Visualization with Python, Scipy Stack with Python , Data Extraction with Python , Regular Expressions with Python , PySpark, Machine Learning with Python, Data Analysis with Python , Data Science with Python
UrbanPro Certified Tutor
For Tableau
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Tableau Training
15
Teaching Experience in detail in Tableau Training
Presently I am working as a Data Science Trainer where I am teaching Statistics Essentials for Data Science, Tableau, Power BI, Postgresql, Business Analytics with MS Excel, Python, Machine Learning & Deep Learning, AWS. I have excellent feedback from the students. You can attend one week free demo classes to experience my mentoring.
UrbanPro Certified Tutor
For Microsoft Power BI
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Microsoft Power BI classes
15
Teaching Experience in detail in Microsoft Power BI classes
I am experienced Data Science Trainer with excellent feedback from students. In this course, Power BI, Statistics, SQL & Projects are covered in an excellent way to respect present market needs.
4.8 out of 5 64 reviews
Sachin Sharma
Data Science
"The way of teaching is very interactive and interesting. We found it very useful for future aspects. Explanation of each topic is very simple and easy to understand. Make it helpful for the fresher as well. "
Prajakta
Data Science
"Thank you Guru sir for sessions on statistics and it is helping me to know how it can be applied in real world and what is the significance for statistics. Guru sir is helping me to know the topics with examples so that my concepts are clear. I happy with sessions so far and looking forward to lean more from Guru sir. "
Nageswara
Data Science
"I am very much happy to learn Data science from Guru, his teaching skills are very good and easy to understand the concepts. He teaches each topic in depth, really very helpful. "
Sujata Poojari
Data Science
"Thank you for helping me understand python from the very basic. Feeling confident now , as have understood the basics well. "
1. Which classes do you teach?
I teach Data Science, Microsoft Power BI, Python Training and Tableau Classes.
2. Do you provide a demo class?
Yes, I provide a free demo class.
3. How many years of experience do you have?
I have been teaching for 15 years.
Answered on 24/05/2021 Learn IT Courses
Hi Priya,
I suggest you try a Data Science career as it is the trending domain.
Data Scientists, Data Analysts and Business Analysts are needed in every organization and each domain. So many positions are getting outdated because of automation happening in every field due to the emergence of Data Science and AI.
You must be aware of Data Explosion that is happening, and the fields related to Data are much in demand despite the pandemic situation. In Human History, 2018 to 2020 have been remarkable years where 400% of the increase in digital traces have been observed. New tools and technologies related to Big Data Systems, Cloud Computing, Data Science & Artificial Intelligence have emerged, helping data storage facilities, making data available at a fraction of costs; analytical tools like Python, R, Hadoop, Tableau, Power BI providing analytical platforms.
I suggest you consider this field because the future is all Data, and many jobs will be lost, and many will be created due to Data emergence.
Answered on 24/05/2021 Learn IT Courses
Hi Bharti,
You have made the right decision to move to the Data Science domain at the right time, but you should be well aware of what you need first. If you want to go as a data scientist, learn Statistics, Python or R for Data Science, Machine Learning, Tableau and Hadoop.
If you want to choose Artificial intelligence, learn Python, Tensor flow Keras, Natural Language Processing, Advanced Computer vision with Advanced Machine Learning and Deep Learning.
If you want to go as a data/business analyst, you need to learn, Tableau or Power BI, Stats, SQL.
Good Luck!
Answered on 24/05/2021 Learn IT Courses
Hi Priya,
I suggest you try a Data Science career as it is the trending domain.
Data Scientists, Data Analysts and Business Analysts are needed in every organization and each domain. So many positions are getting outdated because of automation happening in every field due to the emergence of Data Science and AI.
You must be aware of Data Explosion that is happening, and the fields related to Data are much in demand despite the pandemic situation. In Human History, 2018 to 2020 have been great years where 400% of the increase in digital traces have been observed. New tools and technologies related to Big Data Systems, Cloud Computing, Data Science & Artificial Intelligence have emerged, helping data storage facilities, making data available at a fraction of costs; analytical tools like Python, R, Hadoop, Tableau, Power BI providing analytical platforms.
I suggest you consider this field because the future is all Data, and many jobs will be lost, and many will be created due to Data emergence.
Excellence Award Winner 2023
1st Jan - 30th Jun
Data Science
UrbanPro Certified Tutor
For Data Science
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
15
Data science techniques
Python, Machine learning, R Programming, Artificial Intelligence
Teaching Experience in detail in Data Science Classes
Courses Offered: Data Science Foundations Statistical Analysis with R and Python Machine Learning Mastery Deep Dive into Deep Learning - Artificial Intelligence Teaching Methodology: Modular Learning: Each course was structured into modules, starting from basic concepts like data exploration and visualization, progressing to advanced topics like neural networks and ensemble methods. Interactive Webinars: Conducted bi-weekly live sessions where complex topics were broken down. These sessions allowed for Q&A, fostering a deeper understanding. Hands-on Labs: Provided students with datasets and challenges to solve, ensuring they got practical experience with coding, model building, and problem-solving. Peer Reviews: Encouraged students to review each other's project work, fostering a collaborative learning environment and helping them learn from diverse approaches. Resource Repository: Created a digital library of curated articles, research papers, and case studies to supplement learning. Student Feedback: Depth and Breadth: Students often mentioned the comprehensive nature of the courses, appreciating the balance between theory and practical application. Instant Support: Being a digital entity, I was available round-the-clock, enabling students from different time zones to seek clarifications without delay. Real-world Relevance: The datasets and challenges were modeled around real-world problems, making the learning experience more relevant and engaging. Challenges Faced: Varied Skill Levels: Catering to both beginners and those with some prior knowledge in data science required creating differentiated content and exercises. Keeping Pace: The field of data science evolves rapidly. Ensuring that the curriculum remained updated with the latest algorithms, tools, and best practices was a continuous endeavor. Success Stories: Over 70% of students who completed the Machine Learning Mastery course reported feeling more confident in their job roles, with some even transitioning to specialized roles like ML Engineer or Data Analyst. A team of students collaborated on a project they started during the Deep Dive into Deep Learning course. Reflections: Teaching on UrbanPro provided a unique opportunity to reach a global audience. The diversity of students, from different industries and backgrounds, enriched discussions and brought in varied perspectives. The goal was always to demystify data science and make it accessible to all, and the feedback suggests we were on the right track.
UrbanPro Certified Tutor
For Python Training
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
15
Course Duration provided
1-3 months, 3-6 months, 6-12 months
Seeker background catered to
Individual, Corporate company, Educational Institution
Certification provided
Yes
Python applications taught
Web Scraping with Python , Text Processing with Python, Data Visualization with Python, Scipy Stack with Python , Data Extraction with Python , Regular Expressions with Python , PySpark, Machine Learning with Python, Data Analysis with Python , Data Science with Python
UrbanPro Certified Tutor
For Tableau
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Tableau Training
15
Teaching Experience in detail in Tableau Training
Presently I am working as a Data Science Trainer where I am teaching Statistics Essentials for Data Science, Tableau, Power BI, Postgresql, Business Analytics with MS Excel, Python, Machine Learning & Deep Learning, AWS. I have excellent feedback from the students. You can attend one week free demo classes to experience my mentoring.
UrbanPro Certified Tutor
For Microsoft Power BI
Class Location
Online Classes (Video Call via UrbanPro LIVE)
Student's Home
Tutor's Home
Years of Experience in Microsoft Power BI classes
15
Teaching Experience in detail in Microsoft Power BI classes
I am experienced Data Science Trainer with excellent feedback from students. In this course, Power BI, Statistics, SQL & Projects are covered in an excellent way to respect present market needs.
4.8 out of 5 64 reviews
Sachin Sharma
Data Science
"The way of teaching is very interactive and interesting. We found it very useful for future aspects. Explanation of each topic is very simple and easy to understand. Make it helpful for the fresher as well. "
Prajakta
Data Science
"Thank you Guru sir for sessions on statistics and it is helping me to know how it can be applied in real world and what is the significance for statistics. Guru sir is helping me to know the topics with examples so that my concepts are clear. I happy with sessions so far and looking forward to lean more from Guru sir. "
Nageswara
Data Science
"I am very much happy to learn Data science from Guru, his teaching skills are very good and easy to understand the concepts. He teaches each topic in depth, really very helpful. "
Sujata Poojari
Data Science
"Thank you for helping me understand python from the very basic. Feeling confident now , as have understood the basics well. "
Answered on 24/05/2021 Learn IT Courses
Hi Priya,
I suggest you try a Data Science career as it is the trending domain.
Data Scientists, Data Analysts and Business Analysts are needed in every organization and each domain. So many positions are getting outdated because of automation happening in every field due to the emergence of Data Science and AI.
You must be aware of Data Explosion that is happening, and the fields related to Data are much in demand despite the pandemic situation. In Human History, 2018 to 2020 have been remarkable years where 400% of the increase in digital traces have been observed. New tools and technologies related to Big Data Systems, Cloud Computing, Data Science & Artificial Intelligence have emerged, helping data storage facilities, making data available at a fraction of costs; analytical tools like Python, R, Hadoop, Tableau, Power BI providing analytical platforms.
I suggest you consider this field because the future is all Data, and many jobs will be lost, and many will be created due to Data emergence.
Answered on 24/05/2021 Learn IT Courses
Hi Bharti,
You have made the right decision to move to the Data Science domain at the right time, but you should be well aware of what you need first. If you want to go as a data scientist, learn Statistics, Python or R for Data Science, Machine Learning, Tableau and Hadoop.
If you want to choose Artificial intelligence, learn Python, Tensor flow Keras, Natural Language Processing, Advanced Computer vision with Advanced Machine Learning and Deep Learning.
If you want to go as a data/business analyst, you need to learn, Tableau or Power BI, Stats, SQL.
Good Luck!
Answered on 24/05/2021 Learn IT Courses
Hi Priya,
I suggest you try a Data Science career as it is the trending domain.
Data Scientists, Data Analysts and Business Analysts are needed in every organization and each domain. So many positions are getting outdated because of automation happening in every field due to the emergence of Data Science and AI.
You must be aware of Data Explosion that is happening, and the fields related to Data are much in demand despite the pandemic situation. In Human History, 2018 to 2020 have been great years where 400% of the increase in digital traces have been observed. New tools and technologies related to Big Data Systems, Cloud Computing, Data Science & Artificial Intelligence have emerged, helping data storage facilities, making data available at a fraction of costs; analytical tools like Python, R, Hadoop, Tableau, Power BI providing analytical platforms.
I suggest you consider this field because the future is all Data, and many jobs will be lost, and many will be created due to Data emergence.
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