『Data Science for Beginners: A Practical, No-Jargon Guide to Learning Analytics, Python, and Machine Learning from Scratch』のカバーアート

Data Science for Beginners: A Practical, No-Jargon Guide to Learning Analytics, Python, and Machine Learning from Scratch

デジタルボイスサンプル

聴き放題対象外タイトルです。Audibleプレミアムプラン登録で、非会員価格の30%OFFで購入できます。

¥980で会員登録とタイトル購入をする
オーディオブック・ポッドキャスト・オリジナル作品など数十万以上の対象作品が聴き放題。
オーディオブックをお得な会員価格で購入できます。
30日間の無料体験後は月額¥1500で自動更新します。いつでも退会できます。

Data Science for Beginners: A Practical, No-Jargon Guide to Learning Analytics, Python, and Machine Learning from Scratch

著者: Thomas Granger
ナレーター: Virtual Voice
¥980で会員登録とタイトル購入をする

30日間の無料体験後は月額¥1500で自動更新します。いつでも退会できます。

¥1,400 で購入

¥1,400 で購入

Background images

この作品は、デジタルボイスによる朗読を使用しています。

デジタルボイスは、オーディオブック用にコンピューター生成された朗読です。

Master data analytics and machine learning without the overwhelming math or confusing technical jargon. Whether you are upskilling during your morning commute or transitioning into a tech career, this empowering audio experience makes complex concepts instantly approachable. Transform your professional trajectory by learning to decode the numbers that drive today's modern workplace.

Instead of drowning in abstract formulas, you will embark on a hands-on journey from absolute beginner to deploying your first predictive model. Gain the ultimate competitive edge by treating Python as a friendly problem-solving tool rather than an intimidating programming language. Say goodbye to imposter syndrome and confidently present actionable insights to your team.

What you'll discover inside:

• The complete analytics lifecycle explained through everyday workplace stories and intuitive examples.

• Step-by-step guidance to writing short, readable Python code that answers concrete business questions.

• Painless foundational statistics that replace complex symbolic notation with plain-spoken logic.

• How supervised and unsupervised learning actually work, including simple linear regression models.

• Foolproof strategies to spot dangerous red flags like data bias and algorithm overfitting.

• A practical roadmap for building impressive portfolio projects and developing daily analytical habits.

Stop letting technical gatekeepers hold you back from a lucrative, future-proof skillset. Hit play to demystify the analytics landscape today, and step into your next role with the confidence to turn raw information into career momentum. Your data-driven journey begins right now.

©2026 Hidden Voices (P)2026 Hidden Voices
データサイエンス
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません