Data Analyst Bootcamp

BOOTCAMP

Data Analytics

MIS Global Technology (MGT) offers a comprehensive Data Analyst Bootcamp. As the digital landscape evolves rapidly, the demand for skilled cybersecurity professionals has intensified. By providing this Bootcamp in various formats such as face-to-face, online, and hybrid, we are not only making this vital education accessible to a broader audience but also catering to the diverse learning preferences and schedules of candidates.

3 Months

Intermediate

English

5 Slots Left! (Batch 10 January 2023)

$5000AUD

The focus of the Bootcamp is on equipping candidates with practical, real-world skills.

This could include modules on network security, threat analysis, penetration testing and vulnerability testing, and data protection. Emphasizing hands-on learning through labs and simulations will significantly enhance the learning experience. Moreover, integrating industry insights and trends can prepare candidates for the challenges in the cybersecurity field.

Furthermore, collaboration with industry experts and organizations could be a significant value addition. This can provide candidates with networking opportunities, internships, and exposure to real-world cybersecurity scenarios. Also, considering the global nature of cybersecurity threats, incorporating a diverse range of perspectives and case studies can enrich the learning process.

What will you learn?

Prerequisite

Develop your ability and obtain leading IT Security Certification.
Get Training by an industry expert.
Get certified fast
Study Now Pay Later!

Nil

Bootcamp is on equipping candidates with practical, real-world skills. This could include modules on network security, threat analysis, penetration testing and vulnerability testing, and data protection. Emphasizing hands-on learning through labs and simulations will significantly enhance the learning experience. Moreover, integrating industry insights and trends can prepare candidates for the challenges in the cybersecurity field.

Benefit | What will you get?

Develop your ability and obtain leading IT Security Certification
Get training by an industry expert
Get certified fast
Study Now Pay Later!

Schedule	Duration	Class Conduct
Weekdays	3 Month	1 days
Evening	5 Month	2 Evening
Online / self study	3 Month	Online

Job Opportunity

Data Analyst
Business Intelligence Analyst
Data Scientist (Entry Label)
Database Administrator (DBA)
Data Engineer (Entry Label)
Market Research Analyst
Quality Assurance Analyst

Data Analyst Essential

Data Analysis Fundamentals:
- Understanding data types, structures, and formats.
- Exploratory Data Analysis (EDA) techniques.
- Basic statistical concepts and analysis.
Programming Languages:
- Proficiency in Python programming language commonly used in data analysis.
- Writing scripts to manipulate, clean, and analyze data.
Data Cleaning and Preprocessing:
- Techniques for cleaning and handling missing data.
- Data imputation and transformation.
Data Visualization:
- Creating effective visualizations using tools like Matplotlib, Seaborn, or ggplot2.
- Interpreting and communicating insights through charts and graphs.
SQL (Structured Query Language):
- Querying databases to extract relevant information.
- Joining tables and performing basic database operations.
Excel Proficiency:
- Advanced Excel skills for data analysis and visualization.
- Pivot tables, data validation, and formula functions.
Statistical Analysis:
- Hypothesis testing and confidence intervals.
- Regression analysis and correlation.
Machine Learning Basics:
- Introduction to machine learning algorithms for classification and regression.
- Model evaluation and validation.
Data Ethics and Privacy:
- Understanding the ethical considerations in handling and analyzing data.
- Complying with data privacy regulations.
Tools and Platforms:
- Familiarity with data analysis tools such as Jupyter Notebooks or RStudio.
- Exposure to data visualization tools like Tableau or Power BI.
Real-world Projects:
- Practical application of skills through hands-on projects.
- Building a portfolio showcasing your data analysis projects.
Communication Skills:
- Presenting and communicating data insights effectively.
- Collaborating with stakeholders and teams.
Business and Domain Knowledge:
- Understanding business objectives and how data analysis contributes.
- Industry-specific knowledge relevant to your area of interest.
Version Control:
- Basics of version control systems like Git for tracking changes in code.
Soft Skills:
- Teamwork, problem-solving, and critical thinking skills.
- Time management and project planning.

Why Should Enroll MIS Global Technologies

Provide rapid skills learning and relevant industry training.
Expedite your career
Provide practical hands on training and experience
Fosters personal and professional development in ever changing ICT environment

Curriculum | Your study plan

1. Introduction to Data Analysis and Fundamentals

Overview of Data Analysis and its applications
Introduction to basic statistical concepts
Understanding different data types and structures
Hands-on exercises in data exploration and descriptive statistics

2. Programming Foundations for Data Analysis

Introduction to Python programming language
Data manipulation and cleaning using Pandas
Scripting and automation for data tasks
Practical exercises and small projects

3. Database Fundamentals and SQL

Basics of relational databases
Introduction to SQL for querying databases
Joining tables, filtering, and aggregating data
Real-world SQL projects and case studies

4. Data Visualisation

Principles of data visualization
Using Matplotlib and Seaborn for plotting
Creating interactive visualizations with tools like Plotly
Project work on visualizing real-world datasets

5. Statistical Analysis and Hypothesis Testing

Advanced statistical concepts (regression, correlation)
Hypothesis testing and confidence intervals
Applying statistical methods to real-world datasets
Projects involving statistical analysis and interpretation

6. Machine Learning Basics

Introduction to machine learning algorithms (classification, regression)
Model evaluation and validation techniques
Implementing machine learning models using scikit-learn
Practical projects applying machine learning to datasets

7. Real-world Projects and Industry Applications

Collaborative projects simulating real-world scenarios
Application of data analysis skills to industry-specific problems
Ethical considerations in data analysis
Developing a comprehensive portfolio of projects
Final presentations and career readiness workshops

Testimony | What our students said?

Mina from Indonesia, completed BSB50120 Diploma of Business (Operation) online.

Mina

Student of BSB50120 Diploma of Business, i am thoroughly enjoying the course and used my qualification to get into the Job market.

Esther Howard

I am currently studying ICT60220 Advanced Diploma of Information Technology Adva specialising in Cybersecurity. It's fantastic course to be study cybersecurity. The focus on

Cybersecurity are well-placed, considering the critical importance of this field in today's digital age.

Noor Shahzad