Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
21 Hour(s) 25 Minute(s)
Language
English
Taught by
Meritshot Academy
Rating
2 views
Course Overview
A beginner-friendly data science course covering Excel, Python, Tableau, and statistics with real-world projects.
In today’s world, data is the key to making better decisions and driving success. This beginner-friendly course is your ultimate guide to mastering Excel, Python, Tableau, Statistics, and Data Visualization. Whether you're just starting out or want to level up your skills, this course will take you from beginner to confident data science professional.
You’ll learn how to transform raw data into actionable insights, create stunning visualizations, and solve real-world problems. No prior experience? No problem! We’ll guide you step by step.
Here’s What You’ll Learn:
Master formulas, functions, and pivot tables to analyze data.
Build charts and dashboards to present insights effectively.
Clean and organize datasets for analysis with ease.
Learn Python from scratch with libraries like Pandas, NumPy, and Matplotlib.
Automate data tasks and manipulate datasets effortlessly.
Create visualizations with Seaborn and Matplotlib.
Build stunning dashboards to share data-driven stories.
Create visualizations like bar charts, line charts, heatmaps, and more.
Use Tableau Public and Desktop for hands-on practice.
Understand key statistical concepts like mean, variance, and standard deviation.
Perform hypothesis testing to validate assumptions.
Apply statistics to solve business challenges.
Combine Excel, Python, and Tableau for a complete data workflow.
Interpret datasets and make data-driven decisions.
Work on real-world projects to build confidence.
Take your first step into the exciting world of data science today.
Enroll now and unlock your potential!
Course Content
- 9 section(s)
- 166 lecture(s)
- Section 1 Excel
- Section 2 Tableau
- Section 3 Python
- Section 4 Statistics
- Section 5 Data Analysis and Data Visualization
- Section 6 Data Cleaning
- Section 7 Introduction to Categorical Encoding Techniques
- Section 8 Introduction to Data Manipulation Functions
- Section 9 Introduction to Feature Engineering Techniques
What You’ll Learn
- Analyze and visualize data in Excel using pivot tables and charts.
- Write Python scripts for data manipulation with Pandas and NumPy.
- Perform statistical analysis and hypothesis testing with ease.
- Create interactive dashboards and visualizations in Tableau.
- Clean, organize, and prepare datasets for analysis.
- Understand key statistical concepts for data-driven decisions.
- Use Python libraries like Matplotlib and Seaborn for visualization.
- Integrate Excel, Python, and Tableau for seamless data workflows.
- Apply real-world data analysis techniques to projects.
- Build confidence as a data science professional from scratch.
Reviews
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OOzioma Blessing
Amazing and straight forward
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RReagan Tarus
yes, what I expected
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RRizki Ramdani
goood
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UUmar Bala Guyum
It was very awesome and interesting. Everything was explained in a simple form and clear
