Description
Complete Data Analyst Course
The Complete Data Analyst Course at Knowledge Hunt Computer Academy (KHCA), Khamgaon, is designed for learners who want to develop practical data analysis skills from beginner to advanced levels. Data analysis helps organisations understand information, identify patterns, measure performance and make better business decisions.
Thank you for reading this post, don't forget to subscribe!This course introduces important tools and techniques used in data analytics, including Microsoft Excel, SQL, Python, data visualisation, statistics and Power BI. Learners can build their skills step by step through practical exercises, business examples and projects.
What Is a Data Analyst Course?
A data analyst collects, cleans, organises and analyses data to answer business questions. Data analysts may work with sales reports, financial records, customer information, inventory data, marketing performance and other business datasets.
The Complete Data Analyst Course helps learners understand how to turn raw data into meaningful insights, reports and dashboards.
What You Will Learn
1. Introduction to Data Analytics
Understand data analytics, common types of analysis and how businesses use data to solve problems. Explore the responsibilities and skills associated with data analyst roles.
2. Microsoft Excel for Data Analysis
Learn formulas, functions, sorting, filtering, conditional formatting, data validation and lookup functions. Use Excel to organise datasets and prepare useful reports.
3. Advanced Excel Techniques
Explore PivotTables, PivotCharts, logical functions, lookup techniques and data-cleaning methods. Practise summarising large datasets and creating management reports.
4. Statistics for Data Analysis
Understand mean, median, mode, percentages, variance, standard deviation, correlation and basic probability. Learn how descriptive statistics help explain data.
5. Data Cleaning and Preparation
Identify missing values, duplicate records, inconsistent formats and incorrect entries. Learn why clean and reliable data is essential before analysis.
6. SQL for Data Analysts
Learn how to retrieve and analyse data from relational databases using SELECT, WHERE, ORDER BY, GROUP BY, JOIN, aggregate functions and subqueries.
7. Python Programming for Data Analysis
Understand Python fundamentals, variables, data types, conditions, loops, functions and commonly used libraries for working with data.
8. Data Analysis with Pandas and NumPy
Learn how to load, filter, transform and summarise datasets. Use suitable Python libraries for numerical calculations and tabular data analysis.
9. Data Visualisation
Learn how to present information using appropriate charts, graphs and visual summaries. Understand how to select visualisations that communicate findings clearly.
10. Power BI Fundamentals
Explore data import, data transformation, relationships, report creation and interactive dashboards. Learn how Power BI can support business intelligence and reporting.
11. Dashboard Development
Build dashboards that communicate important business metrics, trends and comparisons. Practise designing reports for sales, finance, operations or customer analysis.
12. Business Intelligence and KPIs
Understand key performance indicators (KPIs), targets, trends and business performance measurements. Learn to connect analytical findings with business questions.
13. Practical Data Analyst Projects
Apply your learning through projects such as sales analysis, employee data analysis, customer behaviour analysis, financial reporting and business performance dashboards.
14. Resume and Interview Preparation
Organise your project portfolio, explain your analytical approach and practise common questions related to Excel, SQL, statistics, Python and Power BI.
Who Should Join This Course?
- Students interested in data analytics and business intelligence.
- Freshers preparing for entry-level data analyst opportunities.
- Working professionals who want to improve reporting skills.
- Excel users who want to learn SQL, Python and Power BI.
- Business owners and office professionals who work with data.
Basic computer knowledge is helpful. Programming experience is not essential for starting the beginner modules.
Career Opportunities After Learning Data Analytics
The skills covered in this course may support preparation for roles such as Junior Data Analyst, Reporting Analyst, MIS Executive, Business Intelligence Trainee and Data Analytics Intern.
Career opportunities depend on practical ability, qualifications, project experience and employer requirements. Building a portfolio of real-world projects can help demonstrate your skills.
Why Choose Knowledge Hunt Computer Academy?
Knowledge Hunt Computer Academy (KHCA), located in Khamgaon, Maharashtra, focuses on computer education and practical skill development. This course is designed to connect analytical concepts with commonly used tools and business-oriented projects.
Visit the Knowledge Hunt Computer Academy website to explore the institute and its educational offerings.
You can also explore the official Microsoft Power BI website and Python website for information about key tools used in data analysis.
Start Learning Data Analytics
Develop your analytical thinking and learn to work with data using Excel, SQL, Python and Power BI. The Complete Data Analyst Course at Knowledge Hunt Computer Academy provides a structured learning path for building practical skills and preparing for further learning in data analytics.
Institute: Knowledge Hunt Computer Academy (KHCA)
Location: Khamgaon, Maharashtra, India
