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Course content

About Data Science with Python Training Program in Kyrgyzstan

  • 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 Kyrgyzstan Training?

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

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    What you will get at Zeblearnindia Learning?

    Zeblearnindia Learning is your one-stop institute in Kyrgyzstan 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
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    •   Highly-detailed learning material
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    TRAINING FEATURES

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    Real-life Case Studies

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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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    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!

    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.
    Nisha Patel
    Nisha Patel
    Data Analyst
    Zeblearn Indias Data Science with Python course was instrumental in advancing my career. The hands-on projects and real-world case studies allowed me to apply what I learned immediately. The instructors were always available to provide guidance and support.
    Rohan Mehta
    Data Scientist
    The Data Science with Python training at Zeblearn India exceeded my expectations. The course was well-structured and covered both foundational and advanced topics. The practical exercises were instrumental in solidifying my understanding of data science methodologies.
    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.
    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.
    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.
    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.
    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.
    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.

    Data Science with Python Training Program in Kyrgyzstan - 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 Kyrgyzstan - Flexible batches

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

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