Since October 2024
Instructor since October 2024
Data Analytics Tutorials -- Join the Data Dive: Your Guide to Excel,
From 29.69 € /h
Excel, SQL, and Python: Essential Tools for Data Analysts
As a data analyst, mastering Excel, SQL, and Python is crucial for effectively extracting, manipulating, and analyzing data. This comprehensive course is designed to equip you with the practical skills needed to excel in these essential tools.
Key areas of focus include:
Excel: Learn advanced Excel techniques, including data manipulation, pivot tables, and data visualization.
SQL: Gain proficiency in SQL for querying databases, extracting relevant data, and performing data analysis.
Python: Discover the power of Python for data analysis, including data cleaning, manipulation, and visualization using popular libraries like Pandas, NumPy, and Matplotlib.
Through hands-on exercises and real-world examples, you'll develop the confidence and expertise to tackle complex data analysis challenges and drive informed decision-making.
As a data analyst, mastering Excel, SQL, and Python is crucial for effectively extracting, manipulating, and analyzing data. This comprehensive course is designed to equip you with the practical skills needed to excel in these essential tools.
Key areas of focus include:
Excel: Learn advanced Excel techniques, including data manipulation, pivot tables, and data visualization.
SQL: Gain proficiency in SQL for querying databases, extracting relevant data, and performing data analysis.
Python: Discover the power of Python for data analysis, including data cleaning, manipulation, and visualization using popular libraries like Pandas, NumPy, and Matplotlib.
Through hands-on exercises and real-world examples, you'll develop the confidence and expertise to tackle complex data analysis challenges and drive informed decision-making.
Location
At student's location :
- Around Coventry, United Kingdom
Online from United Kingdom
About Me
I'm Samuel, a data analyst with a passion for empowering others through the power of data.
Here's what sets me apart as your Data Analysis Tutor:
Proven Track Record: I bring over 5 years of experience working as a Data Analyst, having demonstrably improved data accessibility, reduced customer churn, and increased sales prediction accuracy.
Master of Many Tools: I'm well-versed in industry-standard tools like Excel, SQL, Python, Power BI, and Tableau, ensuring you get a comprehensive learning experience.
Data Storytelling Enthusiast: I believe in clear and impactful communication. I'll help you not only analyze data but also translate it into actionable insights stakeholders can understand.
Passionate and Patient Instructor: My goal is to make data analysis accessible and engaging for everyone. I tailor my approach to your learning style and ensure you grasp the concepts at your own pace.
Results-Oriented: I go beyond theory and focus on practical skills that will help you excel in the real world.
Whether you're a beginner seeking a strong foundation or an aspiring data analyst looking to refine your skills, I'm here to guide you on your data journey.
Ready to unlock your data superpowers? Let's connect!
Here's what sets me apart as your Data Analysis Tutor:
Proven Track Record: I bring over 5 years of experience working as a Data Analyst, having demonstrably improved data accessibility, reduced customer churn, and increased sales prediction accuracy.
Master of Many Tools: I'm well-versed in industry-standard tools like Excel, SQL, Python, Power BI, and Tableau, ensuring you get a comprehensive learning experience.
Data Storytelling Enthusiast: I believe in clear and impactful communication. I'll help you not only analyze data but also translate it into actionable insights stakeholders can understand.
Passionate and Patient Instructor: My goal is to make data analysis accessible and engaging for everyone. I tailor my approach to your learning style and ensure you grasp the concepts at your own pace.
Results-Oriented: I go beyond theory and focus on practical skills that will help you excel in the real world.
Whether you're a beginner seeking a strong foundation or an aspiring data analyst looking to refine your skills, I'm here to guide you on your data journey.
Ready to unlock your data superpowers? Let's connect!
Education
Master of Science: Data Science | Coventry University, England (Ongoing)
Master of Computer Application: Computer Science and IT | Jain university
Bachelor of Science: Agricultural Economics | University of Port Harcourt
Master of Computer Application: Computer Science and IT | Jain university
Bachelor of Science: Agricultural Economics | University of Port Harcourt
Experience / Qualifications
Data Analyst | 09/2019 – 09/2024
• Developed and maintained dashboards with Power BI and Tableau to monitor key performance indicators (KPIs), resulting in a 15% improvement in data accessibility and decision-making.
• Conducted extensive data mining and predictive modelling using Python and Scikit-learn to identify customer churn patterns, leading to a 10% reduction in customer attrition.
• Collaborated with cross-functional teams to analyze and interpret data, providing actionable insights that drove product development and marketing strategies.
• Created automated reports using Power BI, facilitating real-time monitoring of sales trends, and enabling prompt adjustments to marketing campaigns.
• Utilized SQL for data extraction, transformation, and loading (ETL) processes, streamlining data workflows and improving data accuracy.
• Assisted in collecting and analyzing data from various sources, contributing to the creation of comprehensive customer profiles.
• Conducted exploratory data analysis to identify trends and outliers in the data, providing valuable insights for strategic decision-making.
• Developed Python scripts for data cleaning and preprocessing, improving data quality and reducing errors.
• Assisted in building predictive models to forecast sales trends, which increased the accuracy of sales predictions by 12%.
Achievements and Impact:
• Reduced customer attrition by 10% through predictive modelling.
• Improved data accessibility and decision-making with a 15% enhancement in KPI monitoring.
• Enhanced sales prediction accuracy by 12% through predictive models.
• Contributed to the development of automated reports, enabling real-time sales trend monitoring.
• Streamlined data workflows and improved data accuracy, leading to more efficient ETL processes.
• Developed and maintained dashboards with Power BI and Tableau to monitor key performance indicators (KPIs), resulting in a 15% improvement in data accessibility and decision-making.
• Conducted extensive data mining and predictive modelling using Python and Scikit-learn to identify customer churn patterns, leading to a 10% reduction in customer attrition.
• Collaborated with cross-functional teams to analyze and interpret data, providing actionable insights that drove product development and marketing strategies.
• Created automated reports using Power BI, facilitating real-time monitoring of sales trends, and enabling prompt adjustments to marketing campaigns.
• Utilized SQL for data extraction, transformation, and loading (ETL) processes, streamlining data workflows and improving data accuracy.
• Assisted in collecting and analyzing data from various sources, contributing to the creation of comprehensive customer profiles.
• Conducted exploratory data analysis to identify trends and outliers in the data, providing valuable insights for strategic decision-making.
• Developed Python scripts for data cleaning and preprocessing, improving data quality and reducing errors.
• Assisted in building predictive models to forecast sales trends, which increased the accuracy of sales predictions by 12%.
Achievements and Impact:
• Reduced customer attrition by 10% through predictive modelling.
• Improved data accessibility and decision-making with a 15% enhancement in KPI monitoring.
• Enhanced sales prediction accuracy by 12% through predictive models.
• Contributed to the development of automated reports, enabling real-time sales trend monitoring.
• Streamlined data workflows and improved data accuracy, leading to more efficient ETL processes.
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Availability of a typical week
(GMT -05:00)
New York
Online via webcam
At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Contact Samuel
1st lesson is backed
by our Good-fit Instructor Guarantee
by our Good-fit Instructor Guarantee
Good-fit Instructor Guarantee
Contact Samuel