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Course content

About Data Science with Python Training Program in Maranola-Trivio

  • Introduction to the Course
  • Course Help and Welcome
  • Python Environment Setup
  • Updates to Notebook Zip
  • Jupyter Notebooks
  • Optional: Virtual Environments
  • Welcome to the Python Crash Course Section!
  • Introduction to Python Crash Course
  • Python Crash Course
  • Welcome to the NumPy Section!
  • Introduction to Numpy
  • Numpy Arrays
  • Quick Note on Array Indexing
  • Numpy Array Indexing
  • Numpy Operations
  • Welcome to the Pandas Section!
  • Introduction to Pandas
  • Series
  • DataFrames - Part 1
  • DataFrames - Part 2
  • DataFrames - Part 3
  • Missing Data
  • Groupby
  • Merging Joining and Concatenating
  • Operations
  • Data Input and Output
  • Note on SF Salary Exercise
  • SF Salaries Exercise Overview
  • Welcome to the Data Visualization Section!
  • Introduction to Matplotlib
  • Matplotlib
  • Introduction to Seaborn
  • Distribution Plots
  • Distribution Plots Preview
  • Categorical Plots
  • Matrix Plots
  • Grids
  • Regression Plots
  • Style and Color
  • Pandas Built-in Data Visualization
  • Pandas Data Visualization
  • Introduction to Plotly and Cufflinks
  • Plotly and Cufflinks
  • Learn about Data Visualization with Plotly and Python!
  • Introduction to Geographical Plotting
  • Choropleth Maps
  • Choropleth Exercise
  • Welcome to the Data Capstone Projects!
  • Bank Data
  • Finance Data Project Overview
  • Finance Project
  • Welcome to Machine Learning. Here are a few resources to get you started!
  • Welcome to the Machine Learning Section!
  • Supervised Learning Overview
  • Evaluating Performance - Classification Error Metrics
  • Evaluating Performance - Regression Error Metrics
  • Machine Learning with Python
  • Linear Regression Theory
  • model_selection Updates for SciKit Learn
  • Linear Regression with Python 
  • Linear Regression Project
  • KNN Theory
  • Learn K Nearest Neighbors with Python! (05:38)
  • KNN with Python (19:39)
  • KNN Project Overview
  • Introduction to Tree Methods
  • Decision Trees and Random Forest with Python
  • Decision Trees and Random Forest Project Overview
  • Decision Trees and Random Forest Solution
  • SVM Theory
  • Support Vector Machines with Python
  • SVM Project Overview
  • K Means Algorithm Theory
  • K Means with Python
  • K Means Project Overview
  • K Means Project Solutions
  • Natural Language Processing Theory
    • Learn about Natural Language Processing with Python!
  • NLP with Python - Part 1
    • Learn about Natural Language Processing with Python!
  • NLP with Python - Part 2
    • Learn about Natural Language Processing with Python!
  • NLP with Python - Part 3
    • Learn about Natural Language Processing with Python!
  • NLP Project Overview
    • Learn about Natural Language Processing with Python!
  • NLP Project Solutions
  • Download TensorFlow Notebooks Here
  • Quick Check for Notes
  • Welcome to the Deep Learning Section!
  • Introduction to Artificial Neural Networks (ANN)
  • Installing Tensorflow
  • Perceptron Model
  • Neural Networks
  • Activation Functions
  • Multi-Class Classification Considerations
  • Cost Functions and Gradient Descent
  • Backpropagation
  • TensorFlow vs Keras
  • TF Syntax Basics - Part One - Preparing the Data
  • TF Syntax Basics - Part Two - Creating and Training the Model
  • TF Syntax Basics - Part Three - Model Evaluation
  • TF Regression Code Along - Exploratory Data Analysis
  • TF Regression Code Along - Exploratory Data Analysis - Continued
  • TF Regression Code Along - Data Preprocessing and Creating a Model
  • TF Regression Code Along - Model Evaluation and Predictions
  • TF Classification Code Along - EDA and Preprocessing
  • TF Classification - Dealing with Overfitting and Evaluation
  • TensorFlow 2.0 Project Options Overview
  • TensorFlow 2.0 Project Notebook Overview
  • Keras Project Solutions - Dealing with Missing Data
  • Keras Project Solutions - Dealing with Missing Data - Part Two
  • Keras Project Solutions - Categorical Data
  • Keras Project Solutions - Data PreProcessing
  • Keras Project Solutions - Creating and Training a Model
  • Welcome to the Big Data Section!
  • Big Data Overview
  • Spark Overview
  • Local Spark Set-Up
  • AWS Account Set-Up
  • Quick Note on AWS Security
  • EC2 Instance Set-Up
  • SSH with Mac or Linux
  • PySpark Setup
  • Lambda Expressions Review
  • Introduction to Spark and Python
  • RDD Transformations and Actions
  • Why Should You Learn Data Science with Python Training Program in Maranola-Trivio Training?

    The annual salary of an Data Science with Python Training Program in Maranola-Trivio is $125k.

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    Assignment

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    Lifetime Access

    Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.

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    24 x 7 Expert Support

    With no limits to learn and in-depth vision from all-time available support to resolve all your queries related to the course.

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    Certification

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    Program Core Credentials

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    Track Week Days Course Duration Fast Track
    Week Days 40-45 Days 2 Hrs. Per Day Online
    Course Duration 7 Weekends 3 Hrs. Per Day Online
    Fast Track 8 Days 6+ Hrs. Per Day Online

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    (20 July ) 60 Minutes WEBINAR with CERTIFICATE

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    Students Reviews

    Read genuine student reviews on ZebLearn’s expert-led SAP training and foreign language courses. Hear success stories from learners who gained certifications, skills, and career growth!

    Siddharth Kapoor
    Lead Data Scientist
    Zeblearn Indias Data Science with Python training was an excellent learning experience. The course content was relevant and up-to-date, and the instructors were very knowledgeable. The practical exercises helped me gain a solid grasp of data science concepts.
    Priya Sharma
    Priya Sharma
    Business Intelligence Analyst
    Taking the Data Science with Python course from Zeblearn India was one of the best decisions I made for my professional development. The structured approach and comprehensive coverage of Python for data science equipped me with the necessary skills to handle complex data projects confidently.
    Aarti Deshmukh
    Aarti Deshmukh
    Data Specialist
    Zeblearn Indias Data Analytics training was a game-changer for me. The course provided in-depth knowledge and practical skills that I could immediately apply to my work. The support from the instructors was exceptional, making the learning process smooth and effective.
    Ravi Kumar
    Ravi Kumar
    Research Scientist
    The Data Science with Python course at Zeblearn India exceeded my expectations. The detailed lessons, practical exercises, and supportive learning environment made it easy to grasp even the most complex concepts. I feel well-prepared to tackle data science challenges in my career.
    Vikram Singh
    Vikram Singh
    Market Research Analyst
    The Data Analytics course at Zeblearn India was well worth the investment. The comprehensive curriculum, combined with the practical labs, equipped me with the skills needed to handle complex data analysis projects. I am now much more confident in my analytical abilities.
    Meera Rao
    Meera Rao
    Data Analyst
    Zeblearn Indias Data Analytics training exceeded my expectations. The instructors were very knowledgeable and provided valuable insights into the latest data analysis tools and techniques. The practical exercises were incredibly useful for applying the concepts learned.
    Neha Joshi
    AI Researcher
    The Data Science with Python training provided by Zeblearn India was excellent. The instructors were very knowledgeable, and the course content was thorough. The hands-on exercises and real-world examples made the learning process engaging and effective.
    Meera Rao
    Senior Data Scientist
    Zeblearn Indias Data Science with Python training provided a deep and comprehensive understanding of the subject. The instructors were knowledgeable, and the hands-on sessions were very engaging. I now feel confident in applying data science techniques to my work.
    Ramesh Patel
    Ramesh Patel
    Senior Business Analyst
    The Data Analytics course at Zeblearn India was excellent. The course material was well-organized and covered all necessary aspects of data analysis. The hands-on practice and real-world applications made a significant difference in my ability to analyze and interpret data effectively.
    Vikram Rao
    Vikram Rao
    Data Engineer
    I highly recommend the Data Science with Python course at Zeblearn India. The course material was up-to-date and relevant, covering everything from basic Python programming to advanced data science techniques. The interactive sessions were particularly helpful in solidifying my understanding.

    Data Science with Python Training Program in Maranola-Trivio - Flexible batches for you

    Date Type Schedule Time
    SOLD OUT 20 July 2025 Weekend SAT - SUN (08 Week) 18:00 To 20:00
    Filling Img 25 July 2025 Weekday MON - FRI (08 Week) 08:00 To 10:00
    30 July 2025 Weekend MON - FRI (08 Week) 10:00 To 00:00

    Price  1,20,000

    Now  95,000

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