Sunder Vihar, Delhi, India - 110087.
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Hindi Mother Tongue (Native)
English Proficient
BVP, Pune 2018
Bachelor of Technology (B.Tech.)
Sunder Vihar, Delhi, India - 110087
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Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
3
Course Duration provided
1-3 months, 3-6 months, 6-12 months
Seeker background catered to
Corporate company, Individual, Educational Institution
Certification provided
Yes
Python applications taught
Data Extraction with Python , Data Analysis with Python , Scipy Stack with Python , Text Processing with Python, Data Science with Python, Data Visualization with Python, Machine Learning with Python, Web Development with Python
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
2
Data science techniques
Python, Machine learning
Teaching Experience in detail in Data Science Classes
Data is everywhere! In this course i will teach you everything from scratch starting from python to the advance machine learning tools and technologies. This course includes Introduction to Python, Introduction to Python's Data Engineering and visualisation libraries such as Pandas,NumPy,Matplotlib etc. Introduction to Machine Learning(Supervised and Unsupervised Learning). This Course also covers some REAL LIFE CAPSTONE PROJECTS so that you can get Hands-on Experience. See you in the course!
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Tableau Training
2
Teaching Experience in detail in Tableau Training
Learn data visualization through Tableau and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks. You'll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully. Use Tableau to Analyze and Visualize Data So You Can Respond Accordingly Connect Tableau to a Variety of Datasets Analyze, Blend, Join, and Calculate Data Visualize Data in the Form of Various Charts, Plots, and Maps Convert Raw Data Into Compelling Data Visualizations Using Tableau 2020 Because every module of this course is independent, you can start in whatever section you wish, and you can do as much or as little as you like. Each section provides a new data set and exercises that will challenge you so you can learn by immediately applying what you're learning. Content is updated as new versions of Tableau are released. You can always return to the course to further hone your skills, while you stay ahead of the competition. Contents and Overview This course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease. To be able to find trends in your data and make accurate forecasts, you'll learn how to work with data extracts and timeseries. Also, to make data easier to digest, you'll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations. In order to begin visualizing data, you'll cover how to create various charts, maps, scatterplots, and interactive dashboards for each of your projects. You'll even learn when it's best to join or blend data in order to work with and present information from multiple sources. Finally, you'll cover the latest and most advanced features of data preparation in Tableau 10, where you will create table calculations, treemap charts, and storylines. By the time you complete this course, you'll be a highly proficient Tableau user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease. You'll be fully prepared to collect, examine, and present data for any purpose, whether you're working with scientific data or you want to make forecasts about buying trends to increase profits. Who this course is for: You should take this course if want to learn Tableau completely from scratch You should take this course if you know some Tableau skills but want to get better You should take this course if you are good with Tableau and want to take your skills to the next level and truly leverage the full potential of Tableau
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in React JS Training
2
1. Which classes do you teach?
I teach Data Science, Python Training, React JS 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 3 years.
Answered on 29/06/2020 Learn IT Courses/Programming Languages/Python/Python for Machine Learning
There are two categories:
1. Supervised Learning - In supervised learning, we tell the machine the output/result so that it can learn from it.
2. Unsupervised Learning - In unsupervised learning, the machine learns to reach a conclusive result by itself for ex. by clustering the data.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
3
Course Duration provided
1-3 months, 3-6 months, 6-12 months
Seeker background catered to
Corporate company, Individual, Educational Institution
Certification provided
Yes
Python applications taught
Data Extraction with Python , Data Analysis with Python , Scipy Stack with Python , Text Processing with Python, Data Science with Python, Data Visualization with Python, Machine Learning with Python, Web Development with Python
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
2
Data science techniques
Python, Machine learning
Teaching Experience in detail in Data Science Classes
Data is everywhere! In this course i will teach you everything from scratch starting from python to the advance machine learning tools and technologies. This course includes Introduction to Python, Introduction to Python's Data Engineering and visualisation libraries such as Pandas,NumPy,Matplotlib etc. Introduction to Machine Learning(Supervised and Unsupervised Learning). This Course also covers some REAL LIFE CAPSTONE PROJECTS so that you can get Hands-on Experience. See you in the course!
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Tableau Training
2
Teaching Experience in detail in Tableau Training
Learn data visualization through Tableau and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks. You'll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully. Use Tableau to Analyze and Visualize Data So You Can Respond Accordingly Connect Tableau to a Variety of Datasets Analyze, Blend, Join, and Calculate Data Visualize Data in the Form of Various Charts, Plots, and Maps Convert Raw Data Into Compelling Data Visualizations Using Tableau 2020 Because every module of this course is independent, you can start in whatever section you wish, and you can do as much or as little as you like. Each section provides a new data set and exercises that will challenge you so you can learn by immediately applying what you're learning. Content is updated as new versions of Tableau are released. You can always return to the course to further hone your skills, while you stay ahead of the competition. Contents and Overview This course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease. To be able to find trends in your data and make accurate forecasts, you'll learn how to work with data extracts and timeseries. Also, to make data easier to digest, you'll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations. In order to begin visualizing data, you'll cover how to create various charts, maps, scatterplots, and interactive dashboards for each of your projects. You'll even learn when it's best to join or blend data in order to work with and present information from multiple sources. Finally, you'll cover the latest and most advanced features of data preparation in Tableau 10, where you will create table calculations, treemap charts, and storylines. By the time you complete this course, you'll be a highly proficient Tableau user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease. You'll be fully prepared to collect, examine, and present data for any purpose, whether you're working with scientific data or you want to make forecasts about buying trends to increase profits. Who this course is for: You should take this course if want to learn Tableau completely from scratch You should take this course if you know some Tableau skills but want to get better You should take this course if you are good with Tableau and want to take your skills to the next level and truly leverage the full potential of Tableau
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in React JS Training
2
Answered on 29/06/2020 Learn IT Courses/Programming Languages/Python/Python for Machine Learning
There are two categories:
1. Supervised Learning - In supervised learning, we tell the machine the output/result so that it can learn from it.
2. Unsupervised Learning - In unsupervised learning, the machine learns to reach a conclusive result by itself for ex. by clustering the data.
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