Data Science with Python – Part 2

Step up your pursuit of a career in data science as you understand its role in the AI, Machine Learning and NLP pipelines. Learn to ask the right questions to acquire data and clean, explore and visualize to make data-driven decisions. Develop database fundamentals, including writing SQL statements and queries. Understand and utilize tools used by data scientists like scikit-learn, NumPy, pandas, Matplotlib and spaCy and learn the benefits of using the cross-industry standard process for data mining (CRISP-DM). Take part in your first feature engineering and model evaluating tasks. All the while, continue improving your communication skills and being the curious researcher, problem solver and critical thinker you are!

SKU: DMAAI3b Categories: , Tags: ,

$699 USD

Description

Step up your pursuit of a career in data science as you understand its role in the AI, Machine Learning and NLP pipelines. Learn to ask the right questions to acquire data and clean, explore and visualize to make data-driven decisions. Develop database fundamentals, including writing SQL statements and queries. Understand and utilize tools used by data scientists like scikit-learn, NumPy, pandas, Matplotlib and spaCy and learn the benefits of using the cross-industry standard process for data mining (CRISP-DM). Take part in your first feature engineering and model evaluating tasks. All the while, continue improving your communication skills and being the curious researcher, problem solver and critical thinker you are!

Part 2 of a 2-part course.

This course forms part of Digital Media Academy’s Tech Accelerator program, our deep learning journey for 13-18-year-olds. Tech Accelerators fuse expert instruction with real-world partnerships to get you university- and industry-ready. Over sequential Levels, you’ll curate a portfolio of Real-world Client Briefs from our leading tech and creative partners, attend Industry Masterclasses, get one-to-one Pro Mentor support and build a Career Network. Tech Accelerators: Fuel your 21st-century career.

Computer:

  • Laptop or desktop computer running Windows or macOS that meets the minimum specifications of the hardware and software listed below.
  • Built-in or external microphone
  • Built-in or external speakers or headphones
  • Google Chrome browser
  • Additional computer screen/monitor (recommended)

Software:

N.B. All software is open-source (free). Students will be supported during their first lesson to ensure software is installed and functioning correctly.

By the end of this course:

Graduate with peer-reviewed programs that read, clean, analyze and visualize bike-sharing trends and drink types and quality, project-managed and published on Gitlab and your interactive website featuring Markdown script.

Throughout this course:

Deep dive into the following areas of Data Science, as meticulously planned by our expert industry professional curriculum designers:

  • Data Science
  • Data Acquisition & Preparation
  • Exploratory Data Analysis & Decision Making
  • Data Visualisation
  • Databases & SQL
  • Working with DB-API
  • Introduction to ML & Modelling
  • NLP & Sentiment Analysis
  • Feature Engineering
  • Model Evaluation
  • EDA & ML Case Studies

Build your Future-key Portfolio with a coveted Digital Media Academy Digital Credential

Our Digital Credentials provide recognized, unforgeable evidence of your completion and attainment at Digital Media Academy. They are public-facing, supporting instantaneous posting to LinkedIn, Github and other professional sites, and stackable, allowing you to demonstrate your life-long journey through education and employment. Other early adopters of micro-credentialing include UNESCO, MIT, the University of California and the Government of Ontario (investing $60million over three years from 2020), among many others.

Our issuing partner Convergence.Tech is a world leader in blockchain-based identity and credentials. Their badges are verifiable (including offline), and all data is student-owned forever.

To learn more about digital badges, micro-credentials and our issuing partner Convergence.Techclick here.

Student feedback

Info

  • Product Type: Tech Accelerators
  • Career Pathway: Computer Science + AI
  • Career Track: Artificial Intelligence
  • Level: 3b
  • Pre-requisites: Artificial Intelligence Level 3 - Part 1
  • Age: 13-18
  • Grade:
  • Style: Teacher-led
  • Modules:
  • Certificate Awarded: Yes
  • Data Science with Python – Part 2

    Step up your pursuit of a career in data science as you understand its role in the AI, Machine Learning and NLP pipelines. Learn to ask the right questions to acquire data and clean, explore and visualize to make data-driven decisions. Develop database fundamentals, including writing SQL statements and queries. Understand and utilize tools used by data scientists like scikit-learn, NumPy, pandas, Matplotlib and spaCy and learn the benefits of using the cross-industry standard process for data mining (CRISP-DM). Take part in your first feature engineering and model evaluating tasks. All the while, continue improving your communication skills and being the curious researcher, problem solver and critical thinker you are!

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    SKU: DMAAI3b Categories: , Tags: ,

    $699 USD