@upfrontvc has a Head of Talent, a Head of Legal, and a Head of Marketing (me!) We're all former senior operators in startups.
So you're a freelance marketer, designer, coach, growth hacker etc thinking about building your business in 2021. VC platform teams can be your ace in the hole.
We need you! We love you! We can be a great stream of biz ... IF you know how to pitch us.
Here's my advice:
@upfrontvc has a Head of Talent, a Head of Legal, and a Head of Marketing (me!) We're all former senior operators in startups.
I look for fit in functional skills, category, pricing & chemistry. One size does not fit all.
Problem is now I have to work to figure out if/where you would fit & I couldn't meet with everyone even if I wanted to.
A better 1st pitch:
Or: "I'm a growth consultant w/ a core focus on paid Facebook & Instagram campaigns."
"Visual designer with experience in UI/UX, brand identity, and graphic design, particularly in ecomm businesses."
"Content strategist w/ experience in B2B businesses, esp fintech and health tech"
Even: "interest in women founded biz"
- Website/book
- Content samples
- Clients you've worked with, esp other startups
- Your background or past jobs (e.g. you worked at a big SaaS company and now you're consulting on SaaS)
A LinkedIn is good but usually not sufficient.
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Nano Course On Python For Trading
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit https://t.co/EZt0agsdlV
This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!
In Module 1 of this Nano course, we will learn about :
# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)
# Using Google Colab
Intro link is here on YT: https://t.co/MqMSDBaQri
Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb
You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want
# Importing Libraries
Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit https://t.co/EZt0agsdlV
This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!
In Module 1 of this Nano course, we will learn about :
# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)
# Using Google Colab
Intro link is here on YT: https://t.co/MqMSDBaQri
Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb
You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want
# Importing Libraries
Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.