Data Science Course: Complete Data Science Bootcamp 2024

Colleagues, the “Data Science Course: Complete Data Science Bootcamp 2024” provides you with training in Math, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning. This course provides the entire toolbox you need to become a data scientist. Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow. Impress interviewers by showing an understanding of the data science field. Learn how to pre-process data. Understand the mathematics behind Machine Learning. Start coding in Python and learn how to use it for statistical analysis. Perform linear and logistic regressions in Python. Carry out cluster and factor analysis. Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn. Apply your skills to real-life business cases. Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data. Unfold the power of deep neural networks. Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance. The class includes 31 hours on-demand video, 137 coding exercises, 93 articles, 541 downloadable resources, full lifetime access and a certificate of completion. Lessons address: 1) The Various Data Science Disciplines, 2) Popular Data Science Techniques, 3) Probability - Combinatorics, 4) Bayesian Inference, 5) Distributions, 6) Inferential Statistics Fundamentals, 7) Descriptive Statistics, 8) Python - Variables and Data Types, 9) Variables and Data Type, 10) Basic Python Syntax, 11) Python Operators, 12) Conditional Statements, 13) Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis, 14) Multiple Linear Regression with StatsModels, 15) Sci-kit learn, 16) Classifying on the MNIST Dataset, 17) Overfitting, 18) TensorFlow, 19) Pandas, and much more.

Enroll today (teams & executives are welcome): https://tinyurl.com/yzcxz563 

Download your free Data Science  - Career Transformation Guide.

Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team) https://tinyurl.com/hh7bf4m9