DATA SCIENCE &
DATA ANALYSIS

1

Master Diploma in Al and DATA SCIENCE

Duration : 8 Months/288 Hrs

A Comprehensive Understanding Of Al, Machine Learning, Deep Learning, Computer Vision, And Natural Language Processing. Develop Proficiency In Python Programming For Al. Acquire Hands-on Experience With Real-world Projects. Understand The Ethical Considerations In Al

Course Outline:

01.

Reto Al And Data Science

Deep Learning.

Data Visualization And Communication

Data Analysis

Probability & Statistics

02.

Programming For Data Science

Natural Language Processing

Databases

Computer Vision

Data Pre-processing

03.

Machine Learning

Advanced Topics

Ethics In Al And Data Science

Python For Data Science

Web Scrapping & Project

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2

Certificate Course in DATA SCIENCE

Duration : 3 Months/108 Hrs

OBJECTIVE: This course serves as an introduction to the data science principles required to tackle real-world challenges including data problems in business and academia, Data acquisition, cleaning and aggregation, Data analysis, Basic statistical and mathematical foundations for data science

Course Outline:
  • Data Analysis
  • Data mining concepts and applications
  • Data preprocessing
  • Python for Data Science
  • Data integration & Reduction
  • Web Mining (Web Scraping)
  • Data visualization
  • Scikit-Learn
  • Implementation of Kaggle Dataset Projects
  • Project

1

Advanced Diploma In DATA ANALYSIS

Duration: 8 Months / 288 Hours

Objective:

This course helps you to build a bright career in data analysis covering the full lifecycle, which including basic data analytics, activities and design of dash boards using Advanced Excel, Power BI and Python + R programing for advanced analysis.

Course Outline:

01.

Basic Introduction to Data analysis

What is Data visualization & why?

02.

Microsoft Excel

Advanced Excel

Power BI

Dashboard preparation

03.

MIS Reports

Python Basics

R programing

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2

Diploma in Data Analysis

Duration: 4 Months / 144 Hours

OBJECTIVE: This course helps you to build a bright career in data analysis covering the full lifecycle, which including basic data analytics, activities and design of dash boards using Advanced Excel, Power BI for data analysis

Course Outline:
  • Basic Introduction to Data analysis
  • What is Data visualization & why?
  • Microsoft Excel
  • Advanced Excel
  • Power Bl
  • Dashboard preparation
  • MIS Reports

3

Certificate Course In Data Analytics

Duration: 2 Months / 72 Hours

OBJECTIVE: The objective of this course is to help the candidate to apply statistical analysis and technologies on the data to find trends and solve problems, to analyze and shape process and to improve decision making and business process.

Course Outline:
  • Introduction to Data analysis
  • Data analysis with excel
  • Project on Excel
  • Data analytics with Python
  • Project on Python
  • Data analytics with power BI
  • Project on POWER BI
  • Monitoring Job Application & Exploring Application of Data Analytics
  • Capstone Project
  • Job profile creation & interview preparation

4

Power BI

Duration: 2 Months / 72 Hours

OBJECTIVE: The course helps you to Easily connect data, model, visualize your data, collaborate on reports and helps you to quickly make data-driven decisions that drive strategic actions for business needs

Course Outline:
  • Introduction to Data analysis
  • Getting report in power BI Desktop
  • Interactive dashboards
  • Power BI Query Editor
  • Power BI Cloud, service & Mobile
  • The Power BI Desktop
  • Graphs & Visualization
  • DAX Formulas
  • Other data sources