Data Science and Machine Learning Training Course

About this Course

Steps Technology provide the industry based training on Data Science and Machine Learning which covers more than 100 real time scenario which is very helpful for fresher as well as Experience students to get their first job in Data Science and Machine Learning.

We design our Data Science and Machine Learning Course accordingly Industry requirement, following Content can be cover in Data Science and Machine Learning Course and update accordingly new changes:

Data Scinece

• Using Databases with Python
• Object Oriented Python
• Data Models
• Relational SQL Databases
• Visualisation
• Introduction to NumPy, Pandas and Matplotlib etc.
• Data Manipulation

Machine Learning

• Introduction to Machine Learning with Python
• Supervised Learning - I
• Dimensionality Reduction
• Supervised Learning - II
• Unsupervised Learning
• Define Data Science
• Data Science Fundamentals
• Data Extraction
• Wrangling
• Visualization
• Data Analysis Pipeline What is Data Extraction Types of Data
• Raw and Processed Data
• Exploratory Data
• Analysis Visualization of Data
• Explore Algorithms like: Regression,Clustering,Decision Tree,Random forest,Naive Bayes
• Elements of machine learning algorithm like:Parameters,Hyper parameters,Loss function,Optimization
• Association Rules Mining and Recommendation Systems
• Reinforcement Learning
• Time Series Analysis
• Model Selection and Boosting
• Supervised Learning - I - Project for your profile
• Unsupervised Learning - II - Project for your profile

Reason to Learn Data Science and Machine Learning.

• We live in a digital world, everything is data-driven : There is data science in business, accounting, education, science, engineering, healthcare, technology, energy sector, government, and so on.
• Data science is also a very promising field : Data Science, Machine Learning, and Analytics are considered to be among the hottest career paths. The demand for skilled data science practitioners in industry, academia, and government is rapidly growing.
• Basic data science skills are important for personal use : Analyzing these data helps me to draw out meaning insights such as exotic materials properties that render the material suitable for diverse applications such as drug design and delivery.
• Knowledge in Data Science : There are so many side income opportunities for people with a data science background for example freelancing, tutoring, teaching, blogging. When I started blogging.
• Job Opportunity : Due to Data Science and Machine Learning popularity, there are many job opportunities. There are thousands of unfilled Data Science and Machine Learning jobs not only in the United States but all over the world. If you want to get a great job in software development.