Track Highlights & Preview Video(s)
Learn to clean and preprocess datasets using Excel, Python, and R to ensure data quality and accuracy.
Utilize powerful Python libraries like Pandas and NumPy for data manipulation and analysis.
Create dynamic dashboards and interactive visualizations to present complex data effectively.
Leverage Excel formulas, functions, and Pivot Tables to perform in-depth data analysis.
Apply statistical methods to uncover patterns, relationships, and trends in data.
Learn to retrieve, filter, and aggregate data efficiently using SQL and MySQL databases.
Use Jupyter Notebook for implementing machine learning models and visualizing outcomes.
Master data wrangling techniques in R for seamless handling of complex datasets.
Write Python scripts to automate repetitive data analysis tasks and improve productivity.
Utilize tools like VLOOKUP, HLOOKUP, and Power Query for enhanced data exploration.
Identify business trends and actionable insights using Tableau and Power BI.
Create polished and impactful reports to communicate findings to stakeholders.
Gain hands-on experience with database design, normalization, and optimization in MySQL.
Learn how AI tools like ChatGPT can support data analysis and decision-making processes.
Build compelling data stories using charts, graphs, and heatmaps in Python, Tableau, and Power BI.
Use statistical models and machine learning to forecast future trends and behaviors.
Optimize workflows with features of Visual Studio Code for Python and R programming.
Conduct hypothesis testing and regression analysis using statistical software and techniques.
Analyze business data to identify inefficiencies and propose data-driven solutions.
Extract hidden patterns and valuable insights from datasets using Python and R.
Develop robust data pipelines for processing and analyzing real-time data flows.
Combine the power of Excel, SQL, and Python for end-to-end data solutions.
Work in cross-functional teams to design, implement, and deliver data solutions.
Analyze multi-dimensional data with advanced Pivot Table functionalities in Excel.
Use dashboards and visualizations to support data-driven decision-making processes.
Learn techniques to process and analyze large-scale data efficiently.
Transform raw data into meaningful narratives that drive action.
Monitor and evaluate business performance using tailored KPIs in Power BI and Tableau.
Work on industry-relevant projects to apply your skills in real-world scenarios.
Practice handling and querying large datasets for business intelligence tasks.

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Tools & Technologies

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Learning Paths

Data Analyst
102Hrs 55Mins(s)
21 Course(s)
2 Project(s)
24 Exam(s)
Step 1 - Data Analyst Mastery: Tools & Techniques for Data Success
99Hrs 42Mins
21 Course(s)
1 Milestone Project(s)
22 Exam(s)
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Final Track Project - Capstone Project(s) & Related Exam(s)
02Hrs 32Mins
1 Capstone Project(s)
1 Exam(s)
23
Final Track Exam - Track Exam for Certification
24
Details Duration Status
Final Exam
Data Analyst Final Evaluation
20 Questions
 40Mins
Purchase, Enroll & Complete All Course, Milestone & Capstone Exams to Unlock Final Exam
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Complete all courses, projects, and final exams to earn your certificate. Each step builds your expertise and brings you closer to showcasing your achievements and skills with pride!
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