In today’s data-driven world, businesses rely on skilled analysts to interpret and transform raw data into actionable insights. This course will teach you how to collect, clean, and analyze data using industry-standard tools and techniques. You’ll learn to create meaningful reports and visualizations that help drive business decisions.
Whether you’re a beginner or looking to enhance your data skills, this course offers hands-on training that prepares you for roles in various industries, including finance, healthcare, marketing, and more.
What You Will Learn?
Introduction to Data Analysis:
- Understanding the role and importance of data analysis
- Overview of the data analysis process: Collection, Cleaning, Analysis, and Interpretation
- Key concepts: Data types, variables, and datasets
Data Collection and Cleaning:
- Collecting data from various sources (surveys, databases, etc.)
- Cleaning and preparing data for analysis
- Handling missing data, outliers, and inconsistencies
Statistical Analysis and Data Exploration:
- Descriptive statistics: Mean, median, mode, variance, and standard deviation
- Data exploration techniques: Correlation, regression, and hypothesis testing
- Using Excel, Google Sheets, or Python for basic statistical analysis
Data Visualization and Reporting:
- Creating charts, graphs, and dashboards using Excel, Tableau, and Power BI
- Building compelling data stories to communicate insights
- Presenting findings to non-technical stakeholders
Advanced Data Analysis Techniques:
- Introduction to SQL for querying databases
- Exploratory data analysis (EDA) using Python or R
- Analyzing trends and patterns in large datasets
Predictive Analytics and Machine Learning (Introduction):
- Basics of predictive modeling and machine learning concepts
- Understanding algorithms like linear regression, decision trees, and clustering
- Using tools like Python (Pandas, NumPy, Scikit-learn) to build simple models
Portfolio Building:
- Working on real-world data analysis projects
- Creating a portfolio to showcase your analysis skills to employers
- Preparing for job interviews in data-related roles
- Basic computer skills and familiarity with Excel or Google Sheets.
- A computer with internet access for software installations and online classes.
- No prior data analysis experience is needed; this course is designed for beginners.
- Aspiring data analysts looking to build a career in data analysis.
- Professionals looking to use data-driven insights in their roles.
- Business owners who want to make informed decisions using data.
- Career switchers seeking to enter the high-demand field of data analytics.
- Online: Flexible online learning with live or recorded sessions.
- In-Person: Hands-on classes available at our co-working space.
- Duration: 10 weeks (with live classes and independent projects).
- Hands-On Experience: Work with real-world datasets to develop practical skills.
- One-on-One Mentorship: Get personalized feedback from experienced data analysts.
- Industry-Standard Tools: Learn using Excel, Tableau, SQL, and Python.
- Flexible Learning: Study at your own pace with live and recorded sessions.
- Certification: Earn a certificate of completion to enhance your resume.
- Master essential data analysis tools and techniques.
- Build a portfolio of real-world projects to showcase your skills.
- Gain the skills to pursue in-demand roles in data analysis.
- Access to job placement assistance and career coaching after completing the course.