Data Analytics Mastercourse Full Bundle By Lore So What – Free Download Course – LoreSoWhat
By the end of the course, you’ll have a portfolio with 4 completed advanced projects, which are build to show your technical expertise, soft skills proficiency and domain knowledge, so you will be sure to catch a recruiter’s eye!
✅ About This Course:
✅ Course Author: Lore So What – Lorenzo Rosa
✅ Official Course Price: $497
✅ Free For Our VIP Members? : Yes
✅ Download Links : Mega & Google Drive
✅ Updatable? : Yes, all future updates included.
✅ Sales Page : You can check at the bottom of this page.
🏆 Here’s What You Get & Learn With This Course:
1. Introduction to Data Analytics
The Data Analytics Process Framework
Understanding all Steps in the Data Analytics Lifecycle
Roles in Data Analytics
Understanding what it means to be part of a real Data Team
Data Analytics Tools and Technologies
Tools and Technologies Commonly Used in the Industry
📚 Materials
Data Analytics Handbook
Data Analyst Roadmap
Data Scientist Roadmap
Data Engineer Roadmap
✅ Results
By the end of this module, you’ll gain a solid understanding of the various roles in data analytics, the potential career and salary prospects, and comprehend the data analytics lifecycle. You will be clear on your final destination (and in the next modules we cover how to get there).
2. Excel Fundamentals
Fundamentals of Excel
Introduction to Excel: Interface and Basic Functions
Key Formulas for Beginners
Creating Visualizations in Excel
Advanced Excel Techniques
Complex Formulas: Deep Dive into LOOKUPS, INDEX, MATCH and more
Mastering Pivot Tables and Pivot Charts for Data Analysis
Understanding Power Query
Data Cleaning in Excel
Practical Project #1: Excel
Implementing Excel Skills in a Real-World Data Analytics Portfolio Project
📚 Materials
Excel Shortcuts List for Mac and Windows
Excel Formulas Cheatsheet
✅ Results
By the end of this module, you’ll have a strong foundation in Excel, equipped with both basic and advanced skills necessary for effective data analysis. The practical project will prepare you for real-world data analytics tasks.
3. Working with Databases and SQL
Introduction to Databases
Understanding Databases and DBMSs
Types of Databases: Relational vs. Non-Relational
Basic Database Design, ERDs and Data Types
SQL Fundamentals
Introduction to SQL
Basic SQL Commands and Aggregate Functions
Querying and Filtering Data
Advanced SQL Techniques
Complex Queries: JOINs, Case Statements, and CTEs
Subqueries and Window Functions
Practical Project #1: SQL
Implementing SQL Skills in a Real-World Data Analytics Portfolio Project
📚 Materials
Comprehensive SQL Commands Cheat Sheet
Sample Dataset for Practice
✅ Results
By the end of this module, you’ll have a thorough understanding of databases and proficiency in SQL, from basic to advanced levels. The practical project will solidify your skills and prepare you for real-world database management and data analysis tasks.
4. Visualizing Data with Tableau
Introduction to Tableau
Navigating the Tableau Interface
Connecting to Data Sources
Basic Data Visualization Techniques
Advanced Tableau Skills
Design Bar Charts, Histograms, Pie Charts, Heatmaps, Scatter Plots, Line Charts, Maps and more in Tableau
Using Tableau for Interactive Dashboards
Tableau Calculations
Practical Project #3: Tableau
Developing a Professional and Interactive Dashboard Portfolio Project
📚 Materials
Tableau Dashboard Templates
Guide to Creating Effective Data Visualizations
✅ Results
By the end of this module, you’ll have a comprehensive understanding of Tableau, from basic to advanced skills. The practical project will enhance your ability to create dynamic, informative dashboards for data analysis.
5. Automate Analytics with Python
Python Basics for Data Analytics
Introduction to Python Programming
Fundamental Python Concepts and Syntax
Essential Data Structures in Python for Analytics
Data Manipulation and Analysis with Python
Using Pandas and NumPy for Data Handling Libraries
Data Cleaning and Preparation Techniques
Exploratory Data Analysis with Python
Data Visualization and Python
Creating Visualizations with Matplotlib and Seaborn
Interpreting Data through Visuals
Building Interactive Plots and Dashboards
Practical Project #4: Python
Applying Python Skills in a Real-World Data Analytics Project
📚 Materials
Python for Data Analytics Starter Kit
Pandas Functions Cheat Sheet
Numpy Functions Cheat Sheet
Matplotlib Functions Cheat Sheet
✅ Results
By the end of this module, you’ll be proficient in using Python for various data analytics tasks, from basic data manipulation to advanced data processing and visualization. The practical project will ensure you can apply these skills in a professional context, automating and enhancing data analysis processes.
6. Building your Data Analytics Portfolio Website
Portfolio Website Setup
Choosing the Right Platform for Your Portfolio
Planning and Implementing Your Personal Data Analytics Portfolio
Integration of Data Analytics Projects
Showcasing Data Analytics Projects
Selecting Projects to Display: What to Include and Why
Writing Descriptions: Effectively Communicating Your Role and Skills
Using Visuals: Charts, Graphs, and Dashboards to Demonstrate Expertise
📚 Materials
Step-by-Step Guide to Building a Portfolio Website
Examples of Effective Data Analytics Portfolios
✅ Results
By the end of this module, you’ll have a professional and engaging data analytics portfolio website, showcasing your skills and projects. This portfolio will serve as a key tool in your job search, helping you stand out in the field of data analytics.
7. Getting Ready to Apply
How to Create a Resume that Gets Interviews
Crafting a Data Analytics-Focused Resume
Highlighting Relevant Skills and Experiences
Tailoring Your Resume for Different Data Analytics Roles
LinkedIn Mastery
Building a Strong LinkedIn Profile for Data Analytics Professionals
Insights from a Top Data Analytics Recruiter
What Recruiters Look for in Data Analytics Candidates
Common Mistakes to Avoid in Applications
Tips for Standing Out in the Competitive Analytics Field
📚 Materials
Resume Template for Data Analytics Positions
LinkedIn Guide for Data Analytics Professionals
Resume Optimisation Checklist
✅ Results
By the end of this module, you’ll be equipped with the knowledge and tools to create a compelling resume, build a strong LinkedIn presence, and effectively apply for data analytics roles. The insights from a seasoned recruiter will give you a competitive edge in your job search.
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You can find more details about the course according to the sales page.
