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Data Science

Unlock the power of data with SmartED's Data Science course! Dive into a comprehensive curriculum covering Python, R, machine learning, data visualization, and big data technologies. Learn from industry experts through hands-on projects and real-world case studies. Whether you're a beginner or looking to advance your skills, our course is designed to equip you with the tools to analyze, interpret, and leverage data effectively. Join our community of data enthusiasts and propel your career in one of today's most in-demand fields. Enroll now and transform data into actionable insights!

Rochishna eli

4.3
(53) 271 Students

What you will learn

  • Numpy

  • Python

  • Machine Learning

  • Statistics Fundamentals

Introduction to Data Science
Begin your journey with an overview of Data Science, exploring its lifecycle and diverse applications. This module introduces you to essential tools and technologies, setting the foundation for your data science journey.

Programming for Data Science
Master the programming languages crucial for data science. Learn Python basics, including data structures and libraries such as NumPy and Pandas. Gain proficiency in R, focusing on data manipulation with dplyr and data visualization with ggplot2.

Data Analysis and Visualization
Dive into exploratory data analysis (EDA) to uncover patterns and insights. This module covers data cleaning and preprocessing, alongside visualization techniques using tools like Matplotlib, Seaborn, and advanced visualization methods.

Statistics and Probability
Build a strong statistical foundation with descriptive and inferential statistics. Understand probability theory and hypothesis testing, essential for making data-driven decisions.

Machine Learning
Discover the world of machine learning, starting with supervised learning techniques such as linear regression, logistic regression, decision trees, support vector machines, and ensemble methods. Explore unsupervised learning through clustering techniques and principal component analysis (PCA). Learn how to evaluate and tune your models for optimal performance.

Advanced Machine Learning
Advance to complex topics like neural networks and deep learning. Understand the principles of neural networks, delve into convolutional neural networks (CNNs) and recurrent neural networks (RNNs), and explore natural language processing (NLP) and time series analysis.

Big Data Technologies
Get introduced to the realm of big data, focusing on the Hadoop ecosystem. Learn about HDFS and MapReduce, essential components for handling large-scale data processing.

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Diksha .

my attachment button to upload the assignment is not working. plz check it as i have to submit assignment

8 months ago
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Vimal Singh Mehta

My Assignment is not showing! kindly check

6 months ago
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Laxmi Prasad Keerthi

Please approve my assignments, I am waiting for my certificate for long time.

7 months ago
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4.3

53 Reviews

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Kakinada venkata sai Keerthana

6 months ago

nice

user
Shravani Karve

9 months ago

i have some doubts about the 1 session otherwise today's session is amazing

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SHANKHNI MARANDI

9 months ago

It was really helpful

Meet Your Instructor

Instructor
4.2 Rating
527 Students
3 Courses
About Instructor

AI

video

$ 5500.00 $ 7500.00

26.67% off
  • Course Duration
    18 h 14 m 10 s
  • Course Level
    Medium
  • Student Enrolled
    251
  • Language
    English
This Course Includes
  • 18 h 14 m 10 s Video Lectures
  • 0 Quizzes
  • 3 Assignments
  • 1 Downloadable Resources
  • Full Lifetime Access
  • Certificate of Completion