Accélérer la croissance par l'optimisation des délais et la maximisation du chiffre d'affaires avec des solutions innovantes, stratégiques et sur-mesure grâce à la Data et l'IA
As a Data Scientist or Analyst, mathematics and statistics are foundational to our field. For future practitioners, especially those transitioning or resuming studies, mastering key concepts is essential. Here are the crucial areas to focus on: Mathematics 1. Linear Algebra 2. Calculus** 3. Probability Statistics 1. Descriptive Statistics 2. Inferential Statistics 3. Statistical Modeling Other Important Skills 1. Programming (Python, R, SQL) 2. Data Visualization (Matplotlib, Seaborn, Tableau) 3. Machine Learning (Supervised, Unsupervised, Model Evaluation) Recommended Resources 1. Online Courses(Coursera, edX, Khan Academy) 2. Books ("Introduction to Statistical Learning", "Deep Learning", "Pattern Recognition and Machine Learning") 3. **Communities and Practice** (Kaggle, GitHub, Meetup) Combining these theoretical skills with regular practice and real-world projects is crucial for success in this ever-evolving field. Continuous learning and persistence are key.
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