Learn the vital role of Business Analysts in today’s world and how new technologies are shaping their responsibilities. This video covers key skills for the role, such as Data Analytics with Excel, SQL, Python, and data visualization with Tableau. We also compare Business Analysts to Data Analysts, highlighting the differences. Learn how Business Analysts evaluate and adopt emerging technologies like Generative AI. Finally, apply your knowledge to real-world projects designed for aspiring Business Analysts. Watch now to start building your expertise!
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🏁 Topics Covered:
00:00:00 Introduction
00:02:43 Introduction to Business Analytics
00:07:41 Who is a Business Analyst
00:11:13 How to become BA
00:14:36 Business Analyst vs Data Analyst
00:17:00 Data Cleaning
00:22:08 Functions
00:24:16 Types of Functions
00:34:45 Sort and Filter
00:40:16 Lookup function
00:48:50 Conditional Formatting
01:06:58 Pivot Tables
01:16:58 Data Visualization-Pie Chart
01:19:53 Bar chart
01:20:42 Line Chart
01:27:40 Tree Chart
01:28:51 Map Chart
01:33:06 SQL-Introduction
01:34:24 Installing SQL
01:35:27 Datatypes in MySQL
01:38:21 SQL Project
02:34:52 Python Numpy
02:38:23 Initializing Numpy Array
02:45:53 Numpy-Shape
02:51:39 Numpy Intersection and Difference
02:58:26 Numpy Array Mathematics
03:02:45 Numpy Matrix
03:06:49 Numpy Matrix Multiplication
03:09:16 Numpy Save and Load
03:11:12 Python Pandas
03:11:29 Pandas Data-structures
03:15:18 Series Object from Dictionary
03:16:27 Changing Index Position
03:19:58 Basic Math Operation on Series
03:22:06 Pandas Dataframe
03:25:02 Dataframe in-built Functions
03:27:45 iloc and loc function
03:31:29 Dropping columns
03:35:39 Matplotlib Line Plot
03:49:48 Bar Plot
03:56:05 Scatter Plot
04:04:00 Histogram
04:10:48 Seaborn Line Plot
04:19:01 Seaborn Bar Plot
04:28:46 Seaborn Scatter plot
04:32:02 Seaborn Histogram/DistPlot
04:41:25 Types of Statistical Analysis
04:46:60 Inferential Statistics
04:49:26 Descriptive Statistics
04:53:42 Measures of Central Tendency
05:02:09 Measures of Variability
05:07:35 Measures of Skewness
05:10:31 Analysis of Variance
05:24:30 Terminologies in ANOVA
05:31:14 Hypothesis Testing
05:39:30 ANOVA vs T-test
05:42:09 Introduction to EDA
05:47:10 Types of EDA
05:52:28 Boxplot in EDA
05:55:30 Advantages of EDA
06:04:45 EDA on IPL Dataset
06:22:48 Introduction to Data Visualization
06:32:07 Demo - Data Visualization
06:59:56 Regression
07:12:39 Demo-Simple Linear Regression
08:05:49 Logistic Regression
08:12:11 Demo- Logistic Regression
08:47:19 Bagging
08:51:52 Random Forest
08:59:27 Demo- Random Forest
09:47:30 Introduction to Time Series
09:53:50 Components of Time Series
09:57:26 Model Evaluation
10:03:18 Introduction to Tableau
10:11:11 Tableau Dashboards
10:27:20 Impact of Generative AI in Business Analyst
10:29:21 Case Studies on Business Analytics
11:14:20 Summary
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