91 lines
5.4 KiB
Python
91 lines
5.4 KiB
Python
import streamlit as st
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import pandas as pd
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def cis_tech_challenge_homepage():
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st.title("CIS Tech Challenge (Fall 2024)")
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st.subheader("Ready to Grow Your Tech Skills and Earn Prizes?")
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st.image("./images/cis_tech_challenge_logo.jpg", caption="Generate by ChatGPT", width=300)
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st.markdown("""
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**Who**: Any currently enrolled CIS student at WTAMU’s COB (undergraduate and graduate students)
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**What**: A weekly challenge where you will complete free “guided projects” from Coursera’s Career Academy.
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- Each week you may complete as many guided projects as you wish. The more guided projects you successfully complete, the more chances you have of winning a prize.
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- Prizes will be awarded 3 times over the semester.
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- Prize winners will be randomly selected every month in October, November, and December.
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Guided projects are hands-on learning activities on Coursera that require about an hour to complete, e.g., Introduction to JavaScript, API Testing Using Rest, or Kubernetes to Create Multi-App Clusters with Ingress & Logging. Guided projects provide all the software and virtual machines needed to learn the topic---nothing to install.
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For each successful completion of guided projects during the week will equal the number of times your name will be in the drawing for a monthly prize (ex: 6 guided projects completed for the week = 6 times your name is in the drawing). This will continue throughout the duration of the Challenge.
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Coursera “courses” and “professional certifications” are not a part of this CIS Tech Challenge. You may complete Coursera courses and professional certifications for free as a WT student but <span style="color:blue">only the guided projects will count towards prizes </span>.
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**When**: The Challenge will begin on Week 4 (week of 9/15/24) of the Fall 2024 semester and end during Week 15 (12/5/24) of the Fall semester.
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**Where**: Through Coursera’s online learning platform (email Dr. Brooks at mbrooks@wtamu.edu if you’re interested in accepting this challenge)!
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**Why**: To help CIS students learn hands on skills applicable to numerous industries and for students to earn certificates for placement on LinkedIn and acknowledged on a resume.
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**What to Learn**: There are hundreds of guided projects to choose from! We recommend the following, but you are not limited to just these
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**How**: Enroll in and complete your chosen guided projects. When finished, email the pdf certificate of completion or screenshot of your certificate to Dr. Brooks mbrooks@wtamu.edu For prize consideration, your entry will be counted for the week based on the email received date, not the date of the certificate completion.
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**Next**: For more information or to join this program, please reach out to Dr. Brooks at mbrooks@wtamu.edu or 806-651-2495
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<h3 style="text-align:center"> Recommended Guided Projects </h3>
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| Week | Beginning Topics | Advance Topics |
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|:--------------:|:-----------|:-------------------|
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| 1 | Design and Develop a Website using Figma and CSS | Securing Cisco Switches with Port Security |
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| 2 | Create a Website with MailChimp | How to Use The IFE-EFE Matrix for Strategic Analysis |
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| 3 | Getting Started with Linux Terminal | Introduction to Docker: Build Your Own Portfolio Site |
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| 4 | Using MySQL Database with PHP | Create IT Diagrams with Lucidchart |
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| 5 | Master The Art of Digital Marketing with Canva | Create a Python Application using PyMongo and MongoDB Database |
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| 6 | Wireshark for Basic Network Security Analysis | Create digital marketing campaign dashboards in Tableau |
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| 7 | How to create a Jira SCRUM project | Data Visualization in Excel: Build an Interactive Dashboard |
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| 8 | Android Programming for Beginners | Mining Quality Prediction Using Machine & Deep Learning |
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| 9 | Create Your First NoSQL Database with MongoDB and Compass | Machine Learning with ChatGPT: Image Classification Model |
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| 10 | Design and Develop a Website using Figma and CSS | Simulation of Inventory Replenishment Using R Simmer |
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| 11 | Configure and Test Basic Network Connectivity | COVID19 Data Visualization Using Python |
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| 12 | Build Your First React Website | Decryption with Python |
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| 13 | Build Your First React Website (Part II) | Exploratory vs Confirmatory data analysis using Python |
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| 14 | Command Line basics in Linux | Communicate UX Research with Empathy Maps in Miro |
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""", unsafe_allow_html=True)
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st.markdown("""<h3 style="text-align:center"> Full List of Available Guided Projects </h3>""", unsafe_allow_html=True)
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df = pd.read_csv("./files/GuidedProjects.csv", usecols=["Gateway","Role","Guided Project",])
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st.dataframe(df, use_container_width=True, height=500)
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st.markdown("""<h3 style="text-align:center"> Find Projects Based on Job Roles </h3>""", unsafe_allow_html=True)
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default_role_values = sorted(df["Role"].unique())
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selected_role = st.multiselect(label = "Select Role", options=default_role_values)
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if selected_role:
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df_result = df.loc[df['Role'].isin(selected_role)]
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st.dataframe(df_result, use_container_width=True)
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else:
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st.dataframe(df, use_container_width=True)
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st.write("*This CIS Technology Challenge is co-sponsored by BuffTeks.")
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