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Course content

About Data Science with Python Training Program in Guatemala

  • 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 Guatemala Training?

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

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    What you will get at Zeblearnindia Learning?

    Zeblearnindia Learning is your one-stop institute in Guatemala to learn SAP Online Training Courses, Foreign language, Web Designing, Data Science, Fullstack Developer, Salesforce, Workday, Machine Learning, software testing and video editing. With the flexibility of choosing between online and classroom (offline) modes of learning, our comprehensive courses have been specifically designed for students, working professionals, businessmen and entrepreneurs. Here’s what you’ll get at Zeblearnindia Learning:

    •   Trainers with 17+ years of experience
    •   100% Practical approach
    •   100% job placement assistance
    •   Highly-detailed learning material
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    TRAINING FEATURES

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    Real-life Case Studies

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    Assignment

    Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.

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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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    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!

    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.
    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.
    Vikas Agarwal
    Research Scientist
    The Data Science with Python training at Zeblearn India was outstanding. The course was well-structured, and the hands-on projects were very helpful in understanding the practical aspects of data science. This training has significantly improved my research capabilities.
    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.
    Kritika Gupta
    Data Science Consultant
    The Data Science with Python training at Zeblearn India was highly effective. The course was detailed and provided a deep dive into data science techniques. The hands-on projects were especially beneficial in applying what I learned to real-world problems.
    Arjun Desai
    Arjun Desai
    Machine Learning Engineer
    The Data Science with Python course at Zeblearn India provided me with the practical skills and theoretical knowledge I needed to excel in my role. The comprehensive curriculum and experienced instructors made learning Python for data science both enjoyable and effective.
    Aditi Desai
    Data Engineer
    The Data Science with Python course at Zeblearn India was very comprehensive. The training provided a good balance of theory and practical application. The skills I gained have been invaluable in my role as a data engineer, allowing me to build more sophisticated models.
    Sanjay Kumar
    Sanjay Kumar
    Data Consultant
    The Data Analytics training at Zeblearn India was thorough and engaging. The course content was relevant and up-to-date, and the hands-on experience with real-world data sets was invaluable. I feel much better prepared to tackle data analysis challenges in my role.
    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.

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

    Date Type Schedule Time
    SOLD OUT 26 August 2025 Weekend SAT - SUN (08 Week) 18:00 To 20:00
    Filling Img 31 August 2025 Weekday MON - FRI (08 Week) 08:00 To 10:00
    5 September 2025 Weekend MON - FRI (08 Week) 10:00 To 00:00

    Price  1,20,000

    Now  95,000

    Enroll Now, Pay Later

    Explore Our Courses Across Guatemala - Flexible batches

    We are proud to offer our Data Science with Python Training Program in Guatemala services across numerous states of Guatemala.

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