Data Science with Python Training

Best Data Science Online Training

ONE TO ONE TRAINING

Get 1-to-1 Live Instructor Led Online Training in flexible timings

Python is the most widely used programming language for building data science applications. Complete with step-by-step instructions

This course will teach you all the major techniques in machine learning: unsupervised learning, supervised learning, and reinforcement learning. You will also explore basic classification and regression techniques, such as support vector machines, decision trees, and logistic regression.

Data Science with Python Training Key Features

  • Practical guidance on industry-standard data analysis and machine learning tools
  • Take your first steps in Python programming by understanding and using data structures, variables, and loops
  • Study various data science algorithms using real-world datasets
  • Gain knowledge on how to prepare data and feed it to machine learning algorithms
  • Know when and where to apply data science algorithms using this guide
  • Get a strong statistics base for data science and real-world programs;
  • A more in-depth explanation might help the beginners to understand better too.
  • Hands-on training to increase your efficiency to implement any new data science algorithm and have the confidence to experiment with tools or libraries 

Key Highlights

  • Course Syllabus Designed for Working Professionals
  • Projects and Assignments
  • LMS Access (Source Codes,Presentations,Quizzes,Class recordings,Interview Q&A)
  • Assessment: Program prep and orientation quiz.
  • Personalized feedback and career guidance
1
Python
  • Introduction to Python
  • Understanding Python data structure
  • Manipulating Data
  • Using functions in Python
  • Loops in Python
  • Importing data
  • Charts and Plots
  • Machine Learning using Python
2
Statistics
  • Descriptive Statistics
  • Measure of central tendency and variability
  • Distributions
  • Central Limit Theorem
  • Hypothesis Testing
  • Probability Theory
3
Machine Learning
  • What is Machine Learning?
  • Why should we learn Machine Learning?
  • Types of Data, Learnings
  • Types of problems encountered while performing ML
  • Linear Regression
  • Multiple Linear Regression
  • Logistic Regression
  • KNN
  • Naive Baye’s
  • K means
  • Decision Tree
  • Random Forest
  • Optimization Techniques
  • Regularization
  • Bagging and Boosting
All our trainers are certified and are highly qualified, with multiple years of experience in working with front-end development technology.
All the classes are live. They are interactive sessions that enable you to ask questions and participate in discussions during the class time. We do, however, provide recordings of each session you attend for your future reference.
Yes, Whatsapp our support Team, Our customer service representatives will give you more details.
Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.
CourseTrack is offering you the most updated, relevant and high value real-world projects as part of the training program. This way you can implement the learning that you have acquired in a real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning and practical knowledge thus making you completely industry-ready.
Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email. Visa Debit Card / Credit Card American Express Master Card, Or PayPal
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Enrolled: 816 students
Duration: 30 hours
Lectures: 3
Level: Beginner

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CourseTrack offers DevOps Tools , Cloud , Data Science, Full Stack Development (MEAN,MERN,Spring) Courses Platform enables LIVE interactive learning between a Industry experts and a job seekers. .