[PT2021] TRAINING ON BIG DATA ANALYTICS USING PYTHON
Training
learn at datastat.co.ke
Fri Jul 12 03:18:14 EDT 2024
Datastat
Training Center invites You For
Training
Workshop on:
Training on Big Data analytics using
Python
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5
Days Course Fee= 1100 USD
10
Days Course Fee=2200 USD
Online
Training Fee=700USD
TRAINING ON BIG DATA ANALYTICS USING
PYTHON
Introduction
Python
has been one of the most adaptable, and robust open-source languages that are
easy to learn and uses powerful libraries for data manipulation and analysis.
For many years now, Python has been used in scientific computing and
mathematical domains such as physics, finance, oil and gas, and signal
processing. This Big Data Analytics with Python course provides a complete
overview of data analysis techniques using Python. The Big Data Analytics with
Python course teaches you to master the concepts of Python programming. Through
this training, you will gain knowledge of the essential tools of Data Analytics
with Python.
Duration
5
Days
Register
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HERE
Day
1: Introduction to Big Data and Python
Morning:
Welcome
and Introduction to the Course
Overview
of Big Data and its Challenges
Introduction
to Python for Data Analytics
Setting
up Python Environment (Anaconda, Jupyter Notebook)
Afternoon:
Basic
Python Programming Concepts (Variables, Data Types, Loops,
Functions)
Introduction
to Pandas (DataFrames and Series)
Day
2: Data Manipulation and Preprocessing
Morning:
Data
Cleaning and Handling Missing Values
Data
Transformation (e.g., filtering, sorting, merging)
Data
Visualization with Matplotlib and Seaborn
Afternoon:
Introduction
to NumPy for Numerical Operations
Exploratory
Data Analysis (EDA)
Case
Study: Exploring a Real-world Dataset
Day
3: Big Data Tools and Distributed Computing
Morning:
Introduction
to Big Data Technologies (Hadoop, Spark)
Overview
of HDFS (Hadoop Distributed File System)
Setting
up a Hadoop/Spark Cluster (Local or Cloud)
Afternoon:
Introduction
to PySpark
Working
with RDDs (Resilient Distributed Datasets)
Basic
Data Processing with PySpark
Day
4: Advanced Data Analytics with Python
Morning:
Machine
Learning with Scikit-Learn
Model
Training and Evaluation
Feature
Engineering
Afternoon:
Introduction
to Deep Learning with TensorFlow/Keras
Neural
Networks and Deep Learning Concepts
Hands-on
Deep Learning Exercise
Day
5: Big Data Analytics and Conclusion
Morning:
Large-scale
Data Processing with PySpark
Building
Data Pipelines
Real-time
Data Processing (Optional)
Afternoon:
Final
Project: Applying Big Data Analytics on a Real Dataset
Presentation
of Projects
Q&A
Session
Course
Conclusion and Certification
Methodology
The
instructor led trainings are delivered using a blended learning approach and
comprises of presentations, guided sessions of practical exercise, web-based
tutorials and group work. Our facilitators are seasoned industry experts with
years of experience, working as professional and trainers in these
fields.
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Check our courses:
Contact
us Via:
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No: +254724527104 (whatsapp)
Email
Add:
<mailto:info at datastatresearch.org>
info at datastatresearch.org
See
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