Data Science using Python,AI & Deep Learning with Python and TensorFlow,AWS – Amazon Web Services,DevOps,Big Data Hadoop
Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist
➢ Life Cycle of Data Science
➢ Skills required for Data Science
➢ Careers Path in Data Science
➢ Applications of Data Science
➢ Relationship between Statistics and Data Science
➢ Introduction to Data
➢ Descriptive Statistics
➢ Inferential Statistics
➢ Random Sampling and Probability Distribution
➢ Python programming
➢ Python for Exploratory Data Analysis
➢ Introduction to RDBMS
➢ Sorting AND Filtering
➢ Summarizing AND Grouping
➢ Using Subqueries
➢ Joining Tables
➢ Stored Procedure
➢ Python Database ConnectionAPI
➢ Introduction To Machine Learning
➢ Text preprocessing using Bag of words technique
➢ TF(Term Frequency)
➢ IDF(Inverse Document Frequency)
➢ NLP with Python
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.
For example, speech recognition, problem-solving, learning and planning.
Since its inception, AI has demonstrated unprecedented growth. Sophia the AI Robot, is the quintessential example of this.
The future of Artificial intelligence is hazy. But going by the bounds of progress AI has been making, it is clear AI will permeate every sphere of our life.
Listed below are the diverse ways in which AI can change in the future.
• Breakthrough in Science • Cyber Security • Face Recognition • Data Analysis • Transport • Various Jobs • Emotion Bots • Marketing & Advertising
Python for Exploratory Data Analysis – Pandas
Python for Data Visualization – Matplotlib
Python for Data Visualization – Seaborn and Panda
Final Project, The topics and scenario according to current trending subjects