Data Science 101 Data Analytics Class Python Bootcamp NYC
Requirements
- Basic Python 101 is recommended by not needed. Course is for Beginners and Non-Programmers
- Difference between Python 2 vs Python 3 and running any Python code on any editor
- No Prerequisite just an open mind. Keep open mind to see what is possible!
Description
Data Science 101: Python Pandas Bootcamp Data Analytics Course
This course is based on my classes taken in NYC for introducing basics of Data Analytics in Python using Pandas.
The course is not intended to make your expert in Python Analytics but rather introduce you to simple code and give you basic intro of all topics in Data Analytics in Python to launch you into a career in Data Science.
Topics:
Learn Python for Analytics: Pandas
Pandas Objects are Series, DataFrames and comparison with Excel VBA
Creating DataFrames from scratch using dictionary or list
Data Cleaning & Preparation for Analysis - Missing Values, Data imputation
Aggregation, Wrangling Rearranging and reshaping data : Join, Combine, Pivot, Melt and Reshape
Data Manipulating DataFrames with Pandas
Time Series Data - String to Datetime
Visualizations with Matplotlib
This course is build based on my classes taken in NYC, New York
This introductory course is designed for beginners interested in learning the foundations of Data Analytics using Python and the powerful Pandas library. Based on my in-person classes conducted in New York City, it emphasizes hands-on practice and real-world application. You’ll explore Python essentials for analytics, focusing on Pandas data structures like Series and DataFrames, with comparisons to Excel and VBA. Key topics include data cleaning, handling missing values, aggregation, reshaping datasets, and time series manipulation. You'll also learn visualization using Matplotlib. This bootcamp serves as a foundational step toward a career in data science—no prior experience needed.
Who this course is for:
- Business and non programmers who want to learn Data Science
- Wall Street NYC, NY who are looking for alternative to Excel / VBA or Automation
- If you are from New York then a lot of Data Set will make sense for you!
Instructor
- 4.2 Instructor Rating
- 6,285 Reviews
- 168,568 Students
- 26 Courses
The EB1A & EB2-NIW Research Paper Profile Building Strategy
About Me
Shivgan Joshi
EB1A & EB2-NIW Research Publication Strategist | Creator of the #1 DIY Profile Building Course
I don’t just advise—I teach you exactly how to build your EB1A or EB2-NIW profile step-by-step.
Through my comprehensive course, you’ll learn how to write publishable research papers, track citations, get peer reviews, and package everything in a USCIS-ready format—even if you’re not an academic and have never published before.Common Struggles My Course Solves
“I’ve never written a research paper—how do I even start?”
“I’m in industry, not academia. Can I still get citations and peer-reviewed work?”
“My impact looks weak—how do I show USCIS my contributions?”
“Legal writing and formatting slow me down. I don’t want to hire a lawyer for everything.”
“I’m worried about getting an RFE—I don’t know what USCIS is really looking for.”
My Course Helps You Build a Complete USCIS-Ready Profile
This is a DIY system with full video walkthroughs, tools, templates, and prompts. You’ll learn how to:
1. Set Up a Research & Writing Toolkit (Taught in the Course)
Learn how to install and use tools like LaTeX, Zotero, GitHub, ChatGPT, Claude, and citation trackers.
Automate citation monitoring with Google Scholar, ResearchGate, Semantic Scholar, and more.
Create your own “citation engine”: turn your reports, code, designs, and presentations into publishable, citable outputs.
Use free tools to manage references, collaborate with peers, and generate academic-quality papers fast.
2. Write and Publish Your First Research Papers (No Academic Background Needed)
I teach you how to pick a topic, organize your content, and turn your work experience into academic-style research.
Get access to field-specific paper templates (AI, FinTech, Engineering, Cybersecurity, Game Dev, etc.).
Learn how to:
Draft and structure a research paper.
Submit to preprint platforms (like arXiv, SSRN).
Choose Scopus or fast-acceptance journals.
Discover how to get peer reviews—even as a working professional.
3. Boost Citations and Show Real Impact (Even from Non-Academic Work)
Learn how to amplify your publications using LinkedIn, GitHub, Medium, and newsletters.
Get strategies to turn your blog posts, whitepapers, GitHub projects, or patents into citable research artifacts.
I teach how to:
Grow citations through outreach.
Join legitimate “citation circles.”
Use SEO and YouTube to meet “major media coverage” criteria for EB1A.
4. Package Your Work for USCIS (EB1A or EB2-NIW)
Use my cover letter templates and storytelling framework to write a compelling petition intro.
Get recommendation letter prompts + examples designed to meet USCIS wording and structure.
Follow my guide for preparing:
RFE/NOID rebuttals
Evidence table of contents
Full petition layout (LaTeX templates included)
Learn how to directly cite the USCIS Policy Manual and case law to support your application.
What’s Inside the Course
On-Demand Video Modules (Step-by-step walkthroughs)
Templates: Research papers, recommendation letters, RFEs, citations
GenAI Prompts for writing and editing
Tools setup: LaTeX, citation managers, research libraries
Publication workflow: From topic to submission
Checklist for EB1A/EB2-NIW criteria
Why My Students Avoid RFEs
teach a proven method that helped me and many others get approved.
You get the exact templates I used for my own petition.
I simplify the process—even if you have no academic background.
You’ll understand what USCIS wants, and how to demonstrate impact clearly.
Start Learning for Free
YouTube: Watch my “EB1A Profile-Building Case Study”
Free Udemy Course: EB2-NIW for Tech Professionals – How to Qualify Without Research Papers
Enroll Now:
The EB1A & EB2-NIW Profile Building Course
A complete, step-by-step system to turn your work into a successful green card petition.
Don’t just meet the criteria—dominate them.