Pantech eLearning

Become a Data Science Professional with

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Data Science Masterclass

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Data Science Master Class

Learn Data Science from Experts, skills that make you job ready and power ahead in your career. hands-on approach with real-world projects and case studies, providing participants with practical experience and industry-relevant skills.

LEARN – PRACTICE – GROW

Batch Starts @ 09 FEBRUARY 2023

Program Duration: 30 Days

Learning Format: Live Session

Who must take this course

  • Want to Master skill on the field of Data Science
  • Need to build more projects on Data Science
  • Need to build better portfolio to get job in Top MNC
  • Need to master the skill on In-demand field which has opportunity in the future
  • Want to Master skill on the field of Data Science
  • Need to build more projects on AI
  • Need to build better portfolio to get job in Top MNC
  • Need to master the skill on In-demand field which has opportunity in the future
  • To get great insights from the data which you working in
  • Want to make career change to the filed of Data Science for High paying Job
  • To solve their problem related to data using Data Science
  • Building solutions to real world problems
  • Average Data Science engineer salary is ₹ 9.0 LPA – Best career in the Future
  • Easy to learn, No prior knowledge required
  • More Hands-on project needed to be done to crack interviews

Course Syllabus

  • > Essential Python concepts for data science, including data types, variables, loops, and functions
  • > How to work with data using Python’s powerful data manipulation libraries, such as NumPy and Pandas
  • > How to visualize data using Python libraries such as Matplotlib and Seaborn
  • > Machine learning with Python: Supervised and Unsupervised learning
  • > Techniques and best practices for effective data analysis and data storytelling

Day 1: Introduction of data science

Day 2: Basic python programming- Part I

Day 3: Python programming– Part II

Day 4: Python for data analytics- Pandas

Day 5: Python for data analytics- NumPy

Day 6: Python for data analytics- Matplotlib

Day 7: Python for data analytics- Seaborn

Day 8: Data Collection, Data Wrangling, and Data Cleaning Techniques

Day 9: Exploratory Data Analysis (EDA) and Data Visualization Techniques

Day 10: Probability and Statistics for Data Science

Day 11: Introduction to Machine Learning and Types of Learning

Day 12: Preprocessing Data for Machine Learning

Day 13: Feature Selection and Feature Engineering Techniques

Day 15: Handling Missing Data and Outliers

Day 16: Encoding Categorical Variables and Scaling Numerical Variables

Day 17: supervised learning regression and classification -model

Day 18: unsupervised learning clustering- model

Day 19: Introduction Tableau – data visualization

Day 20: Tableau – Data Sources, Worksheet

Day 21: Introduction power BI

Day 22: Visualize Data in the Form of Various Charts, Plots, and Maps BI tools – Power BI

Day 23: Credit score classification

Day 24: Stress prediction

Day 25: Social Media Ads Classification

Day 26: electricity price prediction

Day 27: Ground water level prediction

Day 28: churn analysis prediction

Day 29: drowsiness detection by using CNN

Day 30: chat bot

Projects

Instructors

Learn from India’s top Industry Leaders

Philip Bedit AJJ

Project Engineer

Philip

Get 2 Certificates
( 30 Days Internship certificate + Participation )

After completing this course, you receive a ‘Internship Certificate'

  • > Upskill Your Potential, and Resume
  • Share Certificate with on your LinkedIn Profile
  • Be a Certified Proud Lifetime Member of the Pantech Community
  • Add the list of projects you done in this course to your resume>

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