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data literacy certified----------AI fundamentals certified
data literacy certified-----AI fundamentals certified

Datacamp Achievements Overview

https://whimsical.com/datacamp-achievements-summary-HhvYPFY4ZtSu6V3HwEwkYU@2bsEvpTYSt1Hj3eAhwTjpD24djgarbdfaME

import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from io import StringIO

# Load scores into a DataFrame
scores_csv = StringIO("""Course;Score;Percentile
Data Storytelling;129;83
AI Fundamentals;142;91
Programming for Data Engineering;144;92
Data Management Theory;165;98
Statistical Experimentation Theory;156;96
Exploratory Analysis Theory;182;99
Analytic Fundamentals;164;98
Data Visualization Theory;177;99
Python Programming;153;96
Data Manipulation with Python;160;97
Machine Learning Fundamentals in Python;134;87
Importing & Cleaning Data with Python;159;97
Data Visualization with Python;161;97
Data Management in SQL;141;91
Statistics Fundamentals with Python;156;96
Understanding and Interpreting Data;159;97
Data Analysis in SQL;139;90""")
scores = pd.read_csv(scores_csv, sep=';').set_index('Course')

# Normalize scores to 100
scores['Score in %'] = scores['Score'] / 2

# Sort the DataFrame by score for better visualization
scores_sorted = scores.sort_values(by='Score in %')

# Create horizontal bar plot for scores
# sns.set_style("whitegrid")
plt.figure(figsize=(12, 8))
ax = sns.barplot(x='Score in %', y=scores_sorted.index, data=scores_sorted, color='steelblue', label='Score')

# Create a secondary axis for percentiles, aligned with the primary axis
ax2 = ax.twinx()
# Align the secondary axis' ticks with the primary axis
ax2.set_ylim(ax.get_ylim())
# Plot the percentiles on the secondary axis
ax2.plot(scores_sorted['Percentile'], scores_sorted.index, color='orange', label='Percentile', marker='o', linestyle='-')

ax2.set_yticklabels([])

# Set labels and title
ax.set_xlabel('Score in %')
ax.set_ylabel('Course')
ax2.set_ylabel('Percentile')
ax.set_title('DataCamp Course Scores and Percentiles')

# Create legend manually
lines, labels = ax.get_legend_handles_labels()
lines2, labels2 = ax2.get_legend_handles_labels()
ax2.legend(lines + lines2, labels + labels2, loc='upper right')

plt.show()

Matlab

Python

Courses Badge

Introduction to PythonIntroduction to SQLUnderstanding Data Science
Introduction to PythonIntroduction to SQLIntroduction to ChatGPT
Intermediate PythonIntermediate SQLIntroduction to ChatGPT
Intermediate PythonIntermediate SQLIntroduction to ChatGPT
Data Manipulation with pandasSupervised Learning with scikit-learnUnderstanding Data Engineering
Data Manipulation with pandasSupervised Learning with scikit-learnUnderstanding Data Engineering
XYZ
XYZ
DataCamp Achievements Summary
CoursesCertificateCategory
Introduction to PythonIntroduction to PythonPython
  • Completed Courses
    • Introduction to Python - ![Introduction to Python](https://www.datacamp.com/statement-of-accomplishment/badge/course/9762ca7a8333365504c8b1bb4741d15911ec093f.png?variant=raw)
    • Introduction to SQL
    • Understanding Data Science
    • Intermediate Python
    • Introduction to ChatGPT
    • Intermediate SQL
    • Data Manipulation with pandas
    • Supervised Learning with scikit-learn
    • Understanding Data Engineering
    • Python Data Science Toolbox (Part 1)
    • Data Manipulation in SQL
    • Joining Data with pandas
    • Understanding Machine Learning
    • Understanding Data Visualization
    • Python Data Science Toolbox (Part 2)
    • Introduction to Data Visualization with Seaborn
    • Introduction to Importing Data in Python
    • Writing Efficient Python Code
    • Large Language Models (LLMs) Concepts
    • Understanding Prompt Engineering
    • Writing Functions in Python
    • Understanding Cloud Computing
    • Introduction to Docker
    • Working with Dates and Times in Python
  • Completed Projects
    • Introduction to DataCamp Projects
    • Exploring the Bitcoin Cryptocurrency Market
    • Exploring NYC Public School Test Result Scores
    • Investigating Netflix Movies
    • Evaluate a Manufacturing Process
  • Completed Assessments
    • Data Storytelling
      • Score: 129/200 Prcl
      • Percentile
    • AI Fundamentals
    • Programming for Data Engineering
    • Data Management Theory
    • Statistical Experimentation Theory
    • Exploratory Analysis Theory
    • Analytic Fundamentals
    • Data Visualization Theory
    • Python Programming
    • Data Manipulation with Python
    • Data Visualization with Python
    • Statistics Fundamentals with Python
    • Data Management in SQL (PostgreSQL)
    • Understanding and Interpreting Data
    • Data Analysis in SQL (PostgreSQL)
  • Completed Tracks
    • Understanding Data Topics
    • Python Fundamentals
    • ChatGPT Fundamentals
  • Earned Badges
  • Completed Certifications

https://whimsical.com/datacamp-achievements-summary-HhvYPFY4ZtSu6V3HwEwkYU@2bsEvpTYSt1Hj3eAhwTjpD24djgarbdfaME

/ / / / / LinkedIn and NASBA (CPE) / / / / /

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IT Security Foundations: Network SecurityDevOps Foundations
https://www.linkedin.com/learning/certificates/1506e33f06d2da5a3f6f6c759d752de40a7a03cf8423a2011d39b44609f937c5https://www.linkedin.com/learning/certificates/7960997919c477e14d1a0d123315470c5db27212080acc2c10380fdbe3c0f18c?trk=share_certificate
Skills covered: Network Security , IT Security OperationsSkills covered: DevOps
Network Administration: Build Core Skills for Network Management and SecurityWolfram Language Proficiency
https://www.linkedin.com/learning/certificates/f38692b92cefabae6276fd162feff0a135a30de4163a3649e63161241578f25dNetwork Administration
Completion date: March 2, 2024
Details: 10h 6 courses

Data Engineering

Data Manipulation with pandasSupervised Learning with scikit-learnUnderstanding Machine Learning
Data Manipulation with pandas(CertID: c77404824c1ce5859ab7dff0039825be1ec714ae)Supervised Learning with scikit-learn(CertID: 3fbf0100091e648480443e75bfe20f84acdc32a9)Understanding Machine Learning(CertID: 7ee8bda43c483250c5426bbf8329c3e11dcda064)
Data Manipulation in SQLJoining Data with pandasWorking with dates and times in Python
Data Manipulation in SQL(CertID: 8d22395bf384c97ab32f2af5316a39b4e2a139d5)Joining Data with pandas(CertID: 5ed0fc3af0d0ebafdc6683620cc21606df9f4328)https://www.datacamp.com/statement-of-accomplishment/badge/course/0fabcf962fff0285329f9db1ebd3c107ae055571(CertID: 0fabcf962fff0285329f9db1ebd3c107ae055571)
supervised learning with scikit-learnUnderstanding Data EngineeringUnderstanding Data Visualization
supervised learning with scikit-learn(CertID: 3fbf0100091e648480443e75bfe20f84acdc32a9)understanding data engineering(CertID: dbefd1f3a147b1838808f3c79b1a01503e26e51f)Understanding Data Visualization(CertID: 38d3fc759f2a5bb97019e1e7bde80cf8b28337a3)

/ / / / / LinkedIn and NASBA (CPE) / / / / /

| --------------------------------------------------------------------|

IT Security Foundations: Network SecurityDevOps Foundations
https://www.linkedin.com/learning/certificates/1506e33f06d2da5a3f6f6c759d752de40a7a03cf8423a2011d39b44609f937c5https://www.linkedin.com/learning/certificates/7960997919c477e14d1a0d123315470c5db27212080acc2c10380fdbe3c0f18c?trk=share_certificate
Skills covered: Network Security , IT Security OperationsSkills covered: DevOps
Network Administration: Build Core Skills for Network Management and SecurityWolfram Language Proficiency
https://www.linkedin.com/learning/certificates/f38692b92cefabae6276fd162feff0a135a30de4163a3649e63161241578f25dNetwork Administration / Completion date: March 2, 2024 /
Details: 10h 6 courses

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