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Data Science

Course Description

Launch your career in Data Science by learning how to collect, analyze, visualize, and interpret data using industry-leading tools and technologies. This comprehensive course is designed for beginners as well as professionals looking to build expertise in data analysis, machine learning, and artificial intelligence.

From Python programming and statistics to machine learning and deep learning, you'll gain practical experience through real-world datasets and hands-on projects that prepare you for today's data-driven industries.

Whether your goal is to become a Data Scientist, Data Analyst, Machine Learning Engineer, or AI professional, this course provides the knowledge and practical skills needed to succeed.

What You'll Learn
  • Python Programming for Data Science
  • Data Analysis with Pandas
  • Numerical Computing with NumPy
  • Data Visualization using Matplotlib & Seaborn
  • Statistics & Probability
  • SQL for Data Analysis
  • Data Cleaning & Preprocessing
  • Exploratory Data Analysis (EDA)
  • Feature Engineering
  • Machine Learning Algorithms
  • Supervised Learning
  • Unsupervised Learning
  • Model Evaluation & Optimization
  • Deep Learning Fundamentals
  • Natural Language Processing (NLP)
  • Time Series Analysis
  • Power BI
  • Tableau
  • Introduction to Artificial Intelligence
  • Model Deployment
  • Git & GitHub
  • Real-World Data Science Workflow

Course Curriculum

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Stepupmark Instructor

Developer

I am a web developer with a vast array of knowledge in many different front end and back end languages, responsive frameworks, databases, and best code practices

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This Course Fee:

₹14,999.00 ₹29,999.00

Course includes:
  • img Level
      Beginner
  • img Duration 50h
  • img Lessons 0
  • img Quizzes 0
  • img Certifications Yes
  • img Language
      English
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