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QcFinance.in

QcFinance Training offers skill development programs designed for individuals of executive level and for business workforce development focused on Data Science, Machine Learning, Ai, Blockchain, SQL, PYTHON and other related tools and application.

QcFinance

845 3rd Avenue, 6th Floor
Manhattan, New York, 10022

Upcoming events (5+)

Machine Learning on Python Scikit101 with GingerBeer(Beginner) $325 Online Event

Details Details Please mail [masked] or call (Dr. Vora +1 (312)[masked] / Shivgan Joshi[masked]) for any details/queries Learn how to analyze, summarize, and visualize data in hands-on classroom and corporate training in New York. About this Event Our data analytics classes are taught by top instructors using our proprietary curriculum. 1. This course consists of 6 hours of onsite training along with 6 hours of live online training and 3 hours of tech support! (Online classes are taken on zoom.) 2. A minimum of 3 seats are required to start a batch, so please share your preferred date and time-slot to form a batch. 3. You can also join our 1 on 1 personalized course for which you can inquire separately. Instructors: Shivgan Joshi – Python Data Science Instructor Ankit Vora, PhD (Instructor has taken several sessions in NYC and will explain you all concepts in a very eloquent manner.) 1. For Non Coders and Non Programming Audience 2. No Programming Experience Required Machine Learning has become an integral part of many commercial applications and research projects. This course will teach practical ways to build your machine learning solutions. Machine learning is a form of data analysis that gives computers the ability to learn and process information with little human intervention. Who This Class is For: Anyone who wants a holistic understanding of machine learning! It includes covering and application of algorithms of supervised, unsupervised, and deep learning. This class is for designed for beginners to optimally learn machine learning through small projects in Python. The methodology in machine learning is incredibly useful for companies as it meets their goals – define problem, prepare data, evaluate algorithms, improve results, and present results. Machine Learning Engineers perform these methods along with Data Scientists. Topics Covered: 1. Introduction 2. Supervised Learning 3. Unsupervised Learning 4. Representing Data Feature Engineering 5. Model Evaluation and Improvement 6. Algorithm Chains and Pipelines 7. Working with Text Data 8. Neural Networks 9. Conclusion 10.Projects: Exploratory Data Analysis using Python libraries. Predicting House/Apartment Prices using Regression techniques. What You’ll Learn: In the mini-projects, you will learn how to perform exploratory data analysis, predictive modeling, and then the core concept of machine learning – model optimization. You will learn to learn the following with quantitative, qualitative, visual, and text data. After taking this course, students should know the methods used in machine learning and have hands-on experience in solving various business problems using R and Python. In this course, students will know the methods and tools widely applied to the field of machine learning: linear 1. Expected to know very little about programming or statistics. 2. Watch intro video: https://www.youtube.com/watch?v=2yrqCX_fu64 3. Microsoft account to use Azure Notebook: https://notebooks.azure.com/shivgan3/libraries/PythonClassesNYCBootcamp Instructor: Ankit Vora, PhD Ankit Vora is a research scientist and a co-founder of a startup situated in the city of New York As Python is gaining momentum and becoming popular https://www.linkedin.com/in/drankitvora https://scholar.google.com/citations?user=8rrNVZwAAAAJ&hl=en Shivgan Joshi Shivgan Joshi is an executive trainer and talent acquisition consultant at QcFinance and has worked in the field of data science across disciplines, including engineering, investment banking, and technology. https://www.udemy.com/user/shivganjoshi2/ https://www.linkedin.com/in/shivganjoshi/ https://github.com/shivgan3 We also offer affordable courses on 1. Python programming, 2. Data Science and Analysis, 3. Machine Learning, 4. Blockchain technologies, and 5. VBA *With Changing scenario, the event is rescheduled as an ONLINE event.

SQL 101 Full Day Bootcamp $325 (6 + 6 hours) Small Group - Pay at Door

Details Please mail [masked] or call (Dr. Vora +1 (312)[masked] / Shivgan Joshi[masked]) for any details/queries Learn how to analyze, summarize, and visualize data in hands-on classroom and corporate training in New York. About this Event Our data analytics classes are taught by top instructors using our proprietary curriculum. 1. This course consists of 6 hours of onsite training along with 6 hours of live online training and 3 hours of tech support! (Online classes are taken on zoom.) 2. A minimum of 3 seats are required to start a batch, so please share your preferred date and time-slot to form a batch. 3. You can also join our 1 on 1 personalized course for which you can inquire separately. Instructors: Shivgan Joshi – Python Data Science Instructor Ankit Vora, PhD (Instructor has taken several sessions in NYC and will explain you all concepts in a very eloquent manner.) Want to understand SQL and databases, but don't know where to start? Maybe you have a pressing need to learn about Database Design and/or Data Analysis but have not found a good place to learn. Whatever the reason you have arrived here, this course will... Help you understand and apply SQL with MySQL, including Database Design and Data Analysis. Having database skills is absolutely vital for developers to avoid getting left behind and to maximise job and consulting opportunities. Here at EBS, we start with an entirely hands-on course and assuming no prior knowledge on your part to introducing pretty much all the complex problems that you can solve using SQL.The class is completely hands on and assumes no prior knowledge. What you'll learn in this SQL 101 (MySQL) training: Part A: Create your tables and input values Part B: Select based on different filtering Part C: Group by, Union and Joins Part D: String functions > MYSQL using online platforms and explains querying and creating tables. > Querying logic and explains group by and joins in SQL. Intro to different versions of SQL This class is an ideal class for learning group by, joins, in built functions. After taking this SQL 101 class you can take other intermediate classes or classes involving functions, procedures and views. After attending the course, you can expect to run simple group by, joins and filtering on SQL tables. Also learn about SQL Analytics and SQL Server. Top 10 frequently asked SQL interview questions along with solutions and example is provided. You will be also provided the 15 SQL queries that we run in the class for future reference. The user also gets the code and slides for future references. Expert instructor with courses on Udemy and extensive teaching experience. Resources: Class PPT: https://docs.google.com/presentation/d/1iXpK0tiPiPWS2KiRfT7BgShtQwK-ppAzY7nY23NmV9Y/edit?usp=sharing Quiz: https://docs.google.com/document/d/12q8sc4KAsMZEZdl4GqBAcaCaxMFeJsNU3CNcQia5p7A/edit?usp=sharing Free Udemy Course created by Instructor: https://www.udemy.com/sql-analytics-coding-101-bootcamp-begineers-course-hand-on/ Instructor: Ankit Vora, PhD Ankit Vora is a research scientist and a co-founder of a startup situated in the city of New York As Python is gaining momentum and becoming popular, it is finding applications in the high demand fields such as data science, machine learning, artificial intelligence, big data, etc. https://www.linkedin.com/in/drankitvora https://scholar.google.com/citations?user=8rrNVZwAAAAJ&hl=en Shivgan Joshi Shivgan Joshi is an executive trainer and talent acquisition consultant at QcFinance and has worked in the field of data science across disciplines i. Previously, Joshi served as data science manager for BaiNYC and co-founder of QcFinance. https://www.udemy.com/user/shivganjoshi2/ https://github.com/shivgan3 We also offer affordable courses on 1. Python programming, 2. Data Science and Analysis, 3. Machine Learning, 4. Blockchain technologies, and 5. VBA

Machine Learning 101 for Non Programmers [Small group $99]Online Event By Joshi

Details Details Please mail [masked] or call (Dr. Vora +1 (312)[masked] / Shivgan Joshi[masked]) for any details/queries Learn how to analyze, summarize, and visualize data in hands-on classroom and corporate training in New York. About this Event Our data analytics classes are taught by top instructors using our proprietary curriculum. 1. This course consists of 3 hours of onsite training along with 3 hours of live online training and 3 hours of tech support! (Online classes are taken on zoom.) 2. A minimum of 3 seats are required to start a batch, so please share your preferred date and time-slot to form a batch. 3. You can also join our 1 on 1 personalized course for which you can inquire separately. Instructors: Shivgan Joshi – Python Data Science Instructor Ankit Vora, PhD (Instructor has taken several sessions in NYC and will explain you all concepts in a very eloquent manner.) 1. For Non Coders and Non Programming Audience 2. No Programming Experience Required Machine learning is going to disrupt a lot of industries in the next decade. Whether it be driverless cars,cashierless shops, personal assistant or AI physicians, the effect of machine learning will be pervasive. Prepare for the next big disruption. This class assumes you don’t have any programming background. However, it is recommended to have a basic understanding in Python. Understanding of Pandas Python Library will help a lot. You will know when to run supervised or unsupervised learning for your data, whether to use classification or regression model, how to handle categorical vs continuous data. After the data is ready you will learn how to split the data and analyze the final results. We will use a lot of images to delineate different terms and topics used in Machine Learning. Although we would use classical datasets like IRIS, Titanic, etc but you will be scale and use your data for the models learned in the session. Takeaways include developing basic vocabulary for: 1. Run machine learning models on your data using the setup learTopics covered: 2. Supervised vs Unsupervised Learning 3. Regression vs Classification models 4. Categorical vs Continuous feature spaces 5. Python Scikit-learn Library 6. Modeling Fundamentals: Test-train split, Cross validation(CV), Bias–variance tradeoff, Precision and Recall, Ensemble models 7. Interpreting Results of Regression and Classification Models 8. Parameters and Hyper Parameters 9. Dimension Reduction 10. SVM 11. K-Nearest Neighbor 12. Neural Networks Projects for the session (Python): Understanding and Interpreting results of Regression and Logistic Regression using Google Spreadsheets and Python Calculating R-Square, MSE, Logit manually for enhanced understanding Understanding features of Popular Datasets: Titanic, Iris and Housing Post Session Assessment: Top 20 machine learning interview question ned in class Make data ready, choose and configure the correct model for your data Interpret results of your machine learning algorithm Instructor: Ankit Vora, PhD/ Shivgan Joshi Ankit Vora, PhD Ankit Vora is a research scientist and a co-founder of a startup situated in the city of New York As Python is gaining momentum and becoming popular https://www.linkedin.com/in/drankitvora https://scholar.google.com/citations?user=8rrNVZwAAAAJ&hl=en Shivgan Joshi Shivgan Joshi is an executive trainer and talent acquisition consultant at QcFinance and has worked in the field of data science across disciplines, including engineering, investment banking, and technology. https://www.udemy.com/user/shivganjoshi2/ https://www.linkedin.com/in/shivganjoshi/ https://github.com/shivgan3 We also offer affordable courses on 1. Python programming, 2. Data Science and Analysis, 3. Machine Learning, 4. Blockchain technologies, and 5. VBA *With the Changing scenario, the event is rescheduled as an ONLINE event

MS Excel Features - Data Analytics 1-Day 6 +6 hrs Beginners $325 Pay at Door

A comprehensive MS Excel Features - Data Analytics crafted by experts.... *With Changing scenario, the event is rescheduled as an ONLINE event. Contact Details [masked] Shivgan Joshi -[masked] Dr. Vora - +1 (312)[masked] Please mail or call to verify that you are attending or for any details/queries. Weblinks: http://learnprogrammingnyc.com/ http://qcfinanceconsultingnyc.site/ http://python247help.site/ --------------------------------------------------------------------------------------- This program aims to provide its students an international, wide-spectrum qualification for job-readiness and seamless absorption in MS Excel Features - Data Analytics job roles. About Event - 1. Duration: 3 hours online 2. MS Excel Features - Data Analytics for Non Programmers 3. This Online workshop is for all those who want to know more about MS Excel Features - Data Analytics and tools used in Big data. 4. Instructor: Shivgan Joshi / Ankit Vora (Instructor has taken several sessions in NYC and will explain you all concepts in a very eloquent manner.) Instructors: Shivgan Joshi – Python Data Science Instructor Ankit Vora, PhD Ankur Patel – Data Scientist | Machine Learning | Business Intelligence (Instructor has taken several sessions in NYC and will explain you all concepts in a very eloquent manner.) We know how busy you are. Our anytime, anywhere approach lets you decide when and where to study.Studying alone is hard. Work with a personal mentor to drill into concepts, get feedback, and plan your career. Course Content (Advance Excel): 1. Intro, Referencing, shortcuts, dragging, if command, locking, sum product, Vlookup, Hlookup, Index Match, Offset, find dependable, Address and indirect. Details of Part 1: Introduction: Referencing, shortcuts, dragging, if command, locking, sum productApplication: Vlookup, Hlookup, Index Match, Offset, find dependable, Address and indirect Part 1.1 1. Dragging of default paste 2. Referencing is relative and doesn’t change with dragging 3. Locking or freeze 4. Fixing cells and stopping relative referencing Part 1.2 1. Complex example of locking 2. Complex dragging 3. Search for an example that will help us 4. Different types of pasting 5. Formats and why it plays with format if we overrule 6. What are the display messages when we commit error 6. Referencing Cells and Ranges, Decisions. 7. Repeating Actions – Loops, Passing Information and Determining the Extent of Data, Working with Pivot Tables 8. Error Handling & Custom Dialog Boxes and Custom Function 9. Revision/Doubt Clearing Instructor: Ankit Vora, PhD/ Shivgan Joshi / Ankur PatelAnkit Vora, PhD Ankit Vora is a research scientist and a co-founder of a startup situated in the city of New York, and his research focuses on detecting cancer using machine learning algorithms. He also works on automating Ankit's link to professional profile on LinkedIn: https://www.linkedin.com/in/drankitvora Google Scholar profile: https://scholar.google.com/citations?user=8rrNVZwAAAAJ&hl=en Shivgan Joshi Shivgan Joshi is an executive trainer and talent acquisition consultant at QcFinance and has worked in the field of data science across https://www.udemy.com/user/shivganjoshi2/ [Please check out the python 101 course to know more about the content] https://www.linkedin.com/in/shivganjoshi/ https://github.com/shivgan3 https://notebooks.azure.com/shivgan3/libraries Ankur Patel Ankur Patel, an assistant executive trainer and talent acquisition consultant at EBS Corp, is a graduate student in M.S. in Data Science. We also offer affordable courses on Python programming, Data Science and Analysis, Machine Learning, Blockchain technologies, and VBA. Shivgan Joshi [masked] https://github.com/shivgan3 https://www.linkedin.com/in/shivganjoshi/ https://notebooks.azure.com/shivgan3/libraries

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