Virtual Learning
Data Analysis and Visualization with Python.
Learn the fundamentals of data analysis and visualization to unlock insights from raw data. Master essential tools like Python, Pandas, NumPy, Matplotlib, and Seaborn, and build your expertise in data cleaning, analysis, and storytelling through stunning visualizations..
Python Expert
Predictive Modeling
What You'll Learn in Data Analysis
Master data analysis from fundamentals to advanced concepts with our comprehensive curriculum
Introduction to Data Analysis
Understand the fundamentals of data analysis, the role of a data analyst, and the importance of data-driven decision-making in various industries.
Working with Spreadsheets
Learn the basics of spreadsheets, including data organization, formulas, and visualizations using tools like Microsoft Excel or Google Sheets.
Introduction to Python for Data Analysis
Get started with Python, the most popular programming language for data analysis. Learn the basics of syntax, data types, and functions.
Data Manipulation with Pandas
Master the Pandas library to clean, manipulate, and analyze datasets effectively, and prepare data for deeper insights.
Data Visualization with Matplotlib and Seaborn
Learn to create stunning visualizations using Matplotlib and Seaborn to communicate data insights clearly and effectively.
Introduction to NumPy
Understand how to use NumPy for numerical computations, working with arrays, and performing advanced mathematical operations.
Exploratory Data Analysis (EDA)
Dive into the process of exploring datasets, identifying patterns, and uncovering insights through EDA techniques.
Working with SQL for Data Analysis
Learn to use SQL to extract, filter, and analyze data from relational databases, and perform advanced queries for business insights.
Statistical Analysis and Hypothesis Testing
Understand the fundamentals of statistics, including mean, median, standard deviation, and how to perform hypothesis testing.
Introduction to Machine Learning Basics
Explore the basics of machine learning and its applications, focusing on supervised learning techniques like regression and classification.
Data Cleaning and Preparation
Learn the techniques and tools required to clean messy datasets and prepare them for analysis or machine learning models.
Time Series Analysis
Understand the concepts of time series data, how to analyze trends, and make forecasts using Python libraries.
Dashboarding with Power BI and Tableau
Learn to create interactive dashboards and reports using Power BI and Tableau to present data insights professionally.
Big Data Tools and Technologies
Get introduced to big data technologies like Hadoop and Spark, and understand their role in analyzing massive datasets.
Automating Data Workflows
Learn how to automate repetitive tasks using Python and workflow tools to enhance productivity and efficiency.
Real-World Data Projects
Apply your skills to real-world projects, such as analyzing sales data, creating customer segmentation, and forecasting trends.
Career Tips and Best Practices
Prepare for a career in data analysis with resume tips, portfolio building, and guidance on acing interviews for data-related roles.
Mode Of Learning
We have designed strategic pathways that will fast track your learning curve.
Instructor-led live classes
Join other students in our classes with experts in the industry.
Project Based Learning
Opportunity to work on real-life projects by applying what you learn to enhance your skills and solve related problems.
Networking
Collaborate and communicate by exchanging ideas with other students of the same interest to facilitate your career and build a community.
Mentorship Access
Access to counseling and personalized guidance from mentors and thought leaders in your field that will increase your visibility to other employers.
Employment Opportunities
Get plugged in with employers. We connect our students with internships and job opportunities upon course completion, ensuring a smooth transition into the industry.
Certification
Earn certification upon course completion to validate your expertise and enhance your credibility in the job market.
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