Paket Pelatihan Public Training |
Tanggal posting 25-Nov-24 05:50 wib. dilihat sebanyak 54
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Paket Pelatihan Public Training Python Data Science di K.H Wahid Hasyim Jakarta Pusat - Purnama Academy |
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( 4 Days )
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Posting oleh : Purnama Academy , Whatsapp. 08380838**** |
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Paket Pelatihan Public Training , Jakarta
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jadwalkegiatan.com
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Detail dan Status Paket Pelatihan Sampai Dengan November 2024 |
Waktu Pelaksanaan |
4 Days |
Biaya |
Rp
-Hubungi Whatsapp- |
Keterangan |
Info Terbaru bulan November 2024 , Public Training di K.H Wahid Hasyim. purnamaacademy, Whatsapp 083808380001. Python Data Science: 4-Day Intensive Training
Overview
Elevate your data science skills with our 4-day intensive training on Python Data Science, hosted by Purnama Academy. This course is designed for professionals and enthusiasts looking to leverage Python for data analysis, visualization, and machine learning.
Our training is delivered by certified experts in Python and data science, offering a hands-on approach to learning. Participants will gain practical experience in using Python libraries and tools to analyze data, build models, and derive actionable insights.
Training Details
Duration: 4 Days
Time: 09:00 AM - 04:00 PM (Each Day)
Methods:
Public Offline Training
Inhouse Training
Online via Zoom
Contact: For more information and registration, please contact our sales team via WhatsApp at 0838-0838-0001.
Course Syllabus
Day 1: Introduction to Python for Data Science
Morning Session:
Overview of Python and its Role in Data Science
Setting Up Python Environment (Anaconda, Jupyter Notebook)
Basic Python Programming Concepts
Introduction to Python Libraries for Data Science (Pandas, NumPy)
Afternoon Session:
Data Import and Export
Data Cleaning and Preparation
Hands-on Exercise: Working with Data Using Pandas and NumPy
Day 2: Data Visualization with Python
Morning Session:
Introduction to Data Visualization Libraries (Matplotlib, Seaborn)
Creating Basic Plots and Charts
Customizing Visualizations
Afternoon Session:
Advanced Visualization Techniques (Subplots, Heatmaps, Pair Plots)
Interactive Visualizations with Plotly
Hands-on Exercise: Creating and Customizing Visualizations
Day 3: Data Analysis and Statistical Methods
Morning Session:
Exploratory Data Analysis (EDA)
Statistical Analysis Techniques (Descriptive Statistics, Hypothesis Testing)
Introduction to Machine Learning Concepts
Afternoon Session:
Building and Evaluating Predictive Models (Linear Regression, Classification)
Using Scikit-Learn for Model Building
Hands-on Exercise: Implementing Data Analysis and Building Models
Day 4: Advanced Topics and Final Project
Morning Session:
Introduction to Advanced Data Science Techniques (Clustering, Dimensionality Reduction)
Using Jupyter Notebooks for Data Science Workflows
Integrating Python with Databases and Big Data Tools
Afternoon Session:
Final Project: Applying Python to a Real-World Data Science Problem
Course Review and Q&A
Best Practices and Further Learning Resources
Registration and Contact
To register for the training or for more information, please contact our sales team via WhatsApp at 0838-0838-0001. We provide flexible training options to accommodate your needs, whether you prefer public offline sessions, in-house training, or online via Zoom. *** Other Topics : Microsoft Excel VBA Macro, Power Query, QGIS, IBM Cognos, PHP Web Development, Microsoft Project, Power BI, Python Programming, Oracle, Magento, Primavera P6, JSON, Angular, JQuery, Tableau visit www.purnamaAcademy.com atau whatsapp 0838-0838-0001 | Posting Date : Monday, 25-November-2024, 00:50 |
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Kontak Kegiatan |
Nama Kontak |
Purnama Academy |
Kontak HP / Whatsapp |
08380838****
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Lokasi / Venue Kegiatan |
K.H Wahid Hasyim |
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Jakarta, Jakarta Pusat |
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Peta Lokasi Kontak |
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Perbesar Peta !
Detail peta sesuai alamat lokasi yang tertera di iklan 'Paket Pelatihan Public Training Python Data Science di K.H Wahid Hasyim Jakarta Pusat - Purnama Academy ' . Di-generate otomatis oleh google map Api update bulan November 2024 .
Informasi selengkapnya silahkan hubungi langsung pemilik iklan kegiatan |
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