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Home └Specialist Diploma Big Data Analytics Course with Machine Learning
Specialist Diploma Big Data Analytics Course with Machine Learning

Specialist Diploma Big Data Analytics Course with Machine Learning

This 4-month comprehensive program is designed to equip students with the foundational and advanced skills required to excel in Big Data Analytics. The curriculum covers Python programming, data analysis, machine learning, data visualization, NoSQL databases, and Big Data infrastructure design. By the end of the course, students will have a well-rounded understanding of how to leverage data to drive decision-making and solve complex problems.

Key Learnings:

Understand the fundamentals of Big Data and its significance in modern business environments.

Gain proficiency in Python programming for data analysis and machine learning.

Learn to visualize data effectively using Power BI and other tools.

Explore the architecture and design of Big Data technologies and infrastructure.

Get hands-on experience with NoSQL databases and Apache Spark.



Join this Course
Responsible HR & Marketing
Last Update 08/15/2024
Completion Time 1 day 20 hours
Members 1
Big Data Big Data Analytics Diploma Big Data Analytics Machine Learning
    • Data Storage Solutions: HDFS, S3, Data Lakes
    • Real-time Data Processing and Streaming: Apache Kafka, Spark Streaming
  • Month 1: Big Data Analytics Foundation with Python (BD-01)
    5Lessons · 5 hr
    • Introduction to Big Data & Python
    • Introduction to Big Data: Concepts, Importance, and Applications
    • Overview of Python Programming: Syntax, Data Structures, and Libraries
    • Data Types, Variables, and Basic Operators
    • Control Flow (Loops, Conditionals)
  • Data Handling & Exploration
    4Lessons · 5 hr
    • Introduction to NumPy for numerical computing
    • Pandas for Data Analysis: Series, DataFrames, Basic Operations
    • Data Cleaning and Preparation Techniques
    • Data Exploration and Visualization using Matplotlib and Seaborn
  • Month 2: Machine Learning with Python (BD-02)
    4Lessons · 5 hr
    • Data Analysis & Visualization
    • Advanced Data Analysis Techniques with Pandas
    • Data Visualization Techniques: Seaborn, Plotly
    • Introduction to Apache Spark for Big Data Processing
  • Machine Learning Algorithms
    4Lessons · 5 hr
    • Introduction to Machine Learning: Concepts and Workflow
    • Supervised Learning: Regression, Classification (Logistic Regression, Decision Trees)
    • Unsupervised Learning: Clustering (K-Means, Hierarchical)
    • Model Evaluation and Hyperparameter Tuning
  • Microsoft Power BI and Big Data Visualization (BD-03)
    4Lessons · 5 hr
    • Introduction to Data Visualization
    • Introduction to Microsoft Power BI: Installation, Interface Overview
    • Data Importing: Connecting to Data Sources (Excel, SQL Server, NoSQL)
    • Basic Visualizations: Charts, Tables, Matrix, Slicers
  • Advanced Visualization & Power BI Features
    4Lessons · 5 hr
    • Advanced Data Transformations and Modeling
    • Creating Interactive Dashboards and Reports
    • Implementing DAX (Data Analysis Expressions) in Power BI
    • Sharing and Publishing Reports, Best Practices
  • Month 4: Introduction to NoSQL Databases & Big Data Technologies Infrastructure Design (BD-04 & BD-05)
    5Lessons · 8 hr
    • NoSQL Databases
    • Introduction to NoSQL: Types (Document, Key-Value, Column-Family, Graph)
    • Overview of Popular NoSQL Databases: MongoDB, Cassandra, HBase
    • Data Modeling in NoSQL: Document vs Relational Databases
    • Querying in NoSQL Databases: CRUD Operations, Aggregation Framework
  • Big Data Technologies Overview: Hadoop Ecosystem, Apache Spark, Kafka
    1Lessons · 6 hr
    • Big Data Architecture Design: On-Premises vs Cloud, Scalability