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T E C H N O L O G Y

Data Science and Machine Learning

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.
  • There is data science in business, accounting, education, science, engineering, healthcare, technology, energy sector, government, and so on.
  • 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.
  • 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.
  • There are so many side income opportunities for people with a data science background for example freelancing, tutoring, teaching, blogging. When I started blogging.
  • 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.

Our Work Process

Simple & clean work process

01

Aim

Your training is our aim. We provide the best online / offline training on wide ranges of courses – Artificial Intelligence, Cloud Computing etc. .

02

Support & Job Placement

Our learning support is flexible to let you learn in your own pace. Our dedication to your success is reflected in our experienced instructors and record-breaking job selection.

03

Relations With Clients

Ensuring good relations with customers also helps software developers find new clients, as they may mention the company to friends or coworkers. Beyond all of these reasons, being friendly with clients also helps a software developer look more professional, which is always a good thing in the business world.