Become a Data Scientist: SQL, Tableau, ML & DL [4-in-1]

• Develop a strong foundation in SQL and understand how to use SQL queries to manipulate and retrieve data from a database.
• Explore the features of Tableau and learn to create interactive visualizations to effectively communicate insights to stakeholders.
• Master the concepts of machine learning and learn to implement various machine learning algorithms using Python.
• Discover the basics of Deep Learning and understand how to build and train a deep neural network using Keras and TensorFlow.
• Explore techniques for data preprocessing and feature engineering, including handling missing values and encoding categorical variables
• Master the art of model selection and evaluation, including techniques for cross-validation, hyperparameter tuning, and overfitting prevention.
• Discover the principles of deep neural networks and learn to build and train a convolutional neural network (CNN) for image classification.
• Explore transfer learning and understand how to fine-tune a pre-trained CNN to solve a similar problem in a different domain.

Who this course is for:

• Individuals who want to become data scientists or enhance their skills in data analysis, visualization, and modeling using SQL, Tableau, Machine Learning, and Deep Learning using Python.
• Professionals who want to upskill and add value to their existing roles by learning data science
• Small business owners who want to use data to drive better decision-making in their companies