Young Data Analyst

Overview
Curriculum
Instructor
FAQs

A Data Analyst is a professional who interprets and analyzes complex data sets to provide valuable insights and help businesses make informed decisions. They use statistical techniques, programming languages, and data visualization tools to process and present data in a meaningful way. Data Analysts play a crucial role in identifying trends, patterns, and correlations that can guide strategic business actions. They work with various data sources, ensuring accuracy and reliability, and communicate their findings to non-technical stakeholders. In your context, as someone conducting Excel and Power BI training programs, understanding the role of a Data Analyst can enhance your ability to provide relevant solutions.

Irfan Bakaly

• Mr. Irfan Bakaly, who got Pakistan's first Microsoft Most Valuable Professional (MVP) award in the Excel category, also has 23+ years of experience in the technology training field and served many institutions & and organizations of repute. • Mr. Irfan holds the position of Chief Executive Officer (CEO) at Ain GenX Pvt. Ltd. and ExcelGuru.PK. His extensive background encompasses expertise in Data Science, Data Forecasting, Data Management, and Data Presentation, as well as a strong focus on training and development. • Irfan has an extensive track record of creating diverse projects and delivering training in Excel and Power BI across various sectors. These sectors include but are not limited to Banking, FMCG, Training and Development, Finance, Education, Hospitality, Chemical Industry, Healthcare, Food Services, Production, Investment, Retail, Pharmaceuticals, Distribution, Manufacturing, Housing, and Construction. Throughout his career, Irfan has also served as a trainer, coach, and mentor. • Irfan's notable training programs encompass a wide range of topics, including: Power BI for Financial Analysis and Forecasting, Business Presentation Skills using PowerPoint, and Excel from Basic to Advanced Including BI + AI, SQL, SSIS & SSAS, Power Apps & Power Automate, Project Management using MS Project, Financial Modeling, Excel VBA (Macros), MS Office for Office Professionals. These programs reflect his expertise in various aspects of data analysis, business productivity, and software tools."

What skills do I need to become a Data Analyst?

Key skills include analytical abilities, technical proficiency in programming and data tools, data visualization, problem-solving, attention to detail, and effective communication.

Do I need a specific degree to become a Data Analyst?

While a degree in fields like statistics, mathematics, computer science, or a related field is beneficial, many Data Analysts also enter the field with relevant certifications and practical experience.

What programming languages should I learn for data analysis?

Commonly used programming languages for data analysis include Python and R. Additionally, knowledge of SQL for database querying is valuable.

Requirements

Strong analytical skills are crucial for a Data Analyst. This includes the ability to interpret complex data sets, identify trends, and draw meaningful conclusions.
Knowledge of working with databases and data management systems is necessary. This includes skills in data cleaning, transformation, and extraction.

Features

Learn how to collect, clean, and manipulate data from various sources
The ability to create compelling visualizations using tools like Tableau, Power BI, or matplotlib is important for conveying insights to non-technical stakeholders.
Effective communication is key to translating technical findings into clear, understandable insights for decision-makers.

Target audiences

Age between 16-20 years
Able to communicate findings effectively to both technical and non-technical stakeholders.

Young Data Analyst

Irfan Bakaly

Requirements

Features

Target audiences

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