Business Analyst Full Course 2024 - From Fundamentals to Advanced Techniques

Embark on a comprehensive 11-hour journey into the world of business analytics with this full course designed for beginners and aspiring professionals. Explore the essential role of Business Analysts in today's technology-driven landscape, mastering key skills such as data analytics using Excel, SQL, Python, and data visualization with Tableau. Differentiate between Business Analysts and Data Analysts while learning to evaluate and adopt emerging technologies like Generative AI. Dive deep into various analytics types, including predictive, prescriptive, pricing, and descriptive analytics. Gain hands-on experience through real-world projects, and build a strong foundation in statistical analysis, exploratory data analysis (EDA), regression techniques, and time series analysis. By the end of this extensive tutorial, you'll be well-equipped to kickstart your career in business analytics and apply your newfound knowledge to solve complex business challenges.

Introduction
Introduction to Business Analytics
Who is a Business Analyst
How to become BA
Business Analyst vs Data Analyst
Data Cleaning
Functions
Types of Functions
Sort and Filter
Lookup function
Conditional Formatting
Pivot Tables
Data Visualization-Pie Chart
Bar chart
Line Chart
Tree Chart
Map Chart
SQL-Introduction
Installing SQL
Datatypes in MySQL
SQL Project
Python Numpy
Initializing Numpy Array
Numpy-Shape
Numpy Intersection and Difference
Numpy Array Mathematics
Numpy Matrix
Numpy Matrix Multiplication
Numpy Save and Load
Python Pandas
Pandas Data-structures
Series Object from Dictionary
Changing Index Position
Basic Math Operation on Series
Pandas Dataframe
Dataframe in-built Functions
iloc and loc function
Dropping columns
Matplotlib Line Plot
Bar Plot
Scatter Plot
Histogram
Seaborn Line Plot
Seaborn Bar Plot
Seaborn Scatter plot
Seaborn Histogram/DistPlot
Types of Statistical Analysis
Inferential Statistics
Descriptive Statistics
Measures of Central Tendency
Measures of Variability
Measures of Skewness
Analysis of Variance
Terminologies in ANOVA
Hypothesis Testing
ANOVA vs T-test
Introduction to EDA
Types of EDA
Boxplot in EDA
Advantages of EDA
EDA on IPL Dataset
Introduction to Data Visualization
Demo - Data Visualization
Regression
Demo-Simple Linear Regression
Logistic Regression
Demo- Logistic Regression
Bagging
Random Forest
Demo- Random Forest
Introduction to Time Series
Components of Time Series
Model Evaluation
Introduction to Tableau
Tableau Dashboards
Impact of Generative AI in Business Analyst
Case Studies on Business Analytics
Summary