Tuition Fee
Starting from: $400

Course Duration
3 Months

Start Date
April 13, 2025

Scholarship
Enroll Now

Data Analysis

Unlock the power of data with hands-on data analysis skills. Learn to clean, visualize, and interpret data using tools like Python, Pandas, and Excel. Gain insights, make data-driven decisions, and start your journey into the world of analytics. Perfect for beginners and aspiring data professionals.

Online and Physical Classes Available​
  With guided mentorships  
Project-based Learning
  Build an impressive portfolio  
Paid Internships To Best Student

Career Coaching inclusive

DATA ANALYSIS COURSE CURRICULUM

Module 1: Introduction to Data Analysis

  • Introduction to statistics

  • Statistics for data analysis

  • Data analysis life-cycle

  • Introduction to data science and machine learning

  • Real-world application of data analysis

  • Getting Started with Python and R: (Setting up your development environment)

  • Basic programming syntax

  • Introduction to data structures

  • Reading data from various sources

  • Data manipulation with Python libraries and R packages

  • Data wrangling techniques

Module 2: Data Exploration and Visualization

  • Exploratory Data Analysis (EDA)

  • Data Visualization with Python and R

  • Interactive visualizations

  • Data visualization best practices for effective communication

Modul 3: Advanced Data Analysis Techniques

  • Introduction to Machine Learning

  • Supervised vs. unsupervised learning

  • Machine learning algorithms

  • Model evaluation metrics

  • Machine Learning in Python and R

  • Training, evaluating, and fine-tuning models

  • Introduction to model selection and cross-validation

  • Feature engineering and model selection techniques

  • Practical applications of machine learning on real-world datasets

  • Data Wrangling and Analysis Projects

Module 4: Additional Resources

A curated list of online tutorials, documentation, and practice problems related to Python, R, and data analysis concepts. Guidance on finding and utilizing relevant open-source datasets for projects.

Module 5: Capstone Project

  • Continuous assessment through quizzes, assignments, and participation in practical exercises.

  • Final project where students apply their knowledge to a comprehensive data analysis task.

Module 6: Career Development
  • Resume Crafting
  • Job Searching Strategies
  • LinkedIn Optimization
  • Interviewing
  • Networking + Messages