Udemy – Complete Data Analyst Bootcamp From Basics To Advanced

৳ 99.00

Master Data Analysis in 2025: Python, Statistics, Generative AI, EDA, AWS, SQL, Excel, Power BI, Tableau, ETL, Snowflake & Feature Engineering

✅ আপনি যদি অর্ডার সম্পন্ন করার 1 ঘণ্টার মধ্যে আপনার ইমেইল ইনবক্স বা স্প্যাম ফোল্ডারে কোর্স ডাউনলোড লিংক না পান, তাহলে দয়া করে আমাদের হোয়াটসঅ্যাপ সাপোর্ট টিমের সাথে যোগাযোগ করুন: 01987186749। আমরা আপনার সহায়তায় সর্বদা প্রস্তুত।

Description

Complete Data Analyst Bootcamp 2025 – Learn Python, SQL, Power BI, and Real-World Data Analytics

Requirements

  • Basic computer skills such as installing software and managing files.

  • Familiarity with spreadsheet tools (Excel or Google Sheets) is helpful for understanding data manipulation basics.

  • No prior programming experience required—this course teaches Python from scratch.

  • Curiosity, problem-solving mindset, and eagerness to learn data analytics.


Course Description

Ready to start a high-paying career as a Data Analyst?
The Complete Data Analyst Bootcamp 2025 is designed for beginners, career switchers, and professionals who want a practical, industry-ready pathway into data analytics. This comprehensive program covers Python, SQL, Statistics, Power BI, real-world projects, and everything you need to become job-ready.


What You Will Learn

1. Python Programming for Data Analysis

Master Python—the #1 programming language in data science.

  • Python fundamentals: variables, loops, functions, and data types

  • Data manipulation with Pandas and NumPy

  • Cleaning, transforming, and analyzing datasets
    By the end of this module, you’ll confidently perform complex data operations.


2. Statistics for Data Science

Build a strong analytical foundation with core statistics:

  • Descriptive statistics & probability

  • Hypothesis testing & confidence intervals

  • Inferential statistics for data-driven decisions
    Learn to interpret results and apply statistical techniques to real datasets.


3. Data Preprocessing & Feature Engineering

Turn messy data into high-quality, usable datasets.

  • Handling missing values

  • Encoding categorical features

  • Feature scaling and selection

  • Preparing data for analysis or machine learning
    This module ensures your dataset is structured, clean, and analysis-ready.


4. Exploratory Data Analysis (EDA)

Understand your data before modeling.

  • Identify patterns, distributions, and relationships

  • Detect outliers and inconsistencies

  • Create powerful visualizations using Matplotlib and Seaborn
    EDA helps you uncover insights and ensure data quality.


5. SQL for Data Analysts

SQL remains the most essential skill for data professionals.

  • SQL basics to advanced query techniques

  • Filtering, grouping, aggregations, joins, subqueries

  • Working with SQL Server and large datasets
    Learn how real companies store, retrieve, and analyze data in databases.


6. Power BI for Data Visualization & Reporting

Transform complex data into interactive dashboards.

  • Power BI Desktop fundamentals

  • Data modeling, transformations, and DAX formulas

  • Build interactive dashboards and professional business reports

  • End-to-end reporting workflows used in real companies
    Mastering Power BI will help you stand out in the job market.


7. Real-World Capstone Projects

Apply everything you learn with hands-on projects:

  • Data cleaning & preprocessing

  • Exploratory analysis & visual storytelling

  • Building a complete Power BI dashboard
    These projects mirror real industry challenges and enhance your portfolio.


Who Should Enroll

This course is perfect for:

  • Beginners wanting a complete path to data analysis

  • Career switchers transitioning into the data field

  • Students & fresh graduates looking to boost job opportunities

  • Professionals wanting to upgrade their skills with Python, SQL, and Power BI

  • Data enthusiasts eager to learn analytics and solve real-world problems


Why Choose This Course?

Comprehensive and Job-Focused Curriculum

Covers Python, SQL, Statistics, EDA, and Power BI—everything employers demand.

Hands-On Learning

Practice with real datasets, real scenarios, and real analytics workflows.

Industry-Relevant Tools

Python, Pandas, NumPy, SQL Server, Power BI, Matplotlib, Seaborn—tools used worldwide.

Portfolio-Ready Projects

Complete practical capstone projects you can add to your resume and LinkedIn.


Conclusion

By the end of this bootcamp, you’ll have a solid foundation in data analysis, hands-on experience with industry tools, and a portfolio that showcases your expertise. You’ll be fully prepared to start your career as a Data Analyst or elevate your current professional path.

Start your journey today and become a skilled, confident Data Analyst in 2025!

Please Note: Files will be included in this purchase only Full Course Video & Course Resources. You will get cloud storage download link with life time download access.

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