Data Analytics

From data to insights. From insights to impact.

Master the art and science of turning raw data into actionable insights. Harness the power of statistics, machine learning, and data visualization.

In data we trust. In analytics we grow.

Foundation & Statistics

Build the mathematical foundation. Where numbers tell stories, and statistics reveal truth.

1

Data Fundamentals & Types

2

Descriptive Statistics

3

Probability Distributions

4

Hypothesis Testing

5

Inferential Statistics

6

Statistical Significance

7

Correlation & Causation

Python for Analytics

Master the language of data. Where Python becomes your analytical superpower.

8

Python Fundamentals

9

NumPy Arrays & Operations

10

Pandas DataFrames Essentials

11

Data Cleaning & Preparation

12

Data Manipulation & Transformation

13

Pandas Groupby & Aggregation

14

Time Series Analysis

15

Handling Missing Data

16

Data Validation & Quality

Data Visualization

Make data speak. Where visualizations transform insights into understanding.

17

Matplotlib Fundamentals

18

Seaborn for Statistical Plots

19

Plotly Interactive Visualizations

20

Tableau Basics & Dashboards

21

Chart Types & Best Practices

22

Color Theory & Design Principles

23

Storytelling with Data

24

Interactive Dashboards

Data Collection & SQL

Unlock the vault of data. Where SQL queries reveal insights hidden in databases.

25

SQL Fundamentals (SELECT, WHERE)

26

JOINs & Complex Queries

27

Aggregation & GROUP BY

28

Window Functions

29

Database Design & Optimization

30

Subqueries & CTEs

31

Data API Integration

32

Web Scraping Basics

Exploratory Data Analysis (EDA)

Discover the hidden patterns. Where curiosity meets methodology.

33

EDA Workflow & Techniques

34

Univariate Analysis

35

Bivariate & Multivariate Analysis

36

Outlier Detection & Treatment

37

Feature Correlation Analysis

38

Distribution Analysis

39

Data Profiling & Summary Statistics

40

Hypothesis Formulation from EDA

Machine Learning Basics

Teach machines to learn. Where algorithms discover patterns humans cannot see.

41

ML Fundamentals & Types

42

Supervised vs Unsupervised Learning

43

Train-Test Split & Validation

44

Feature Scaling & Normalization

45

Linear Regression

46

Logistic Regression & Classification

47

Decision Trees & Ensemble Methods

48

K-Means Clustering

49

Model Evaluation Metrics

50

Overfitting & Regularization

Advanced ML & Deep Learning

Push the boundaries of intelligence. Where neural networks achieve superhuman feats.

51

Feature Engineering & Selection

52

Random Forests & Gradient Boosting

53

Support Vector Machines (SVM)

54

Neural Networks Fundamentals

55

Deep Learning with TensorFlow/Keras

56

Convolutional Neural Networks (CNN)

57

Recurrent Neural Networks (RNN)

58

Natural Language Processing (NLP)

59

Model Hyperparameter Tuning

60

Transfer Learning

Business Analytics & A/B Testing

Analytics that drive business. Where data meets strategy.

61

Business Metrics & KPIs

62

Cohort Analysis

63

Funnel Analysis

64

Retention & Churn Analysis

65

A/B Testing Framework

66

Statistical Significance in A/B Tests

67

Customer Lifetime Value (CLV)

68

Revenue & Profit Analysis

Big Data & Production

Scale to infinity. Where big data becomes insights, and insights become action.

69

Big Data Concepts & Challenges

70

Hadoop & MapReduce Basics

71

Apache Spark Fundamentals

72

Data Pipelines & ETL

73

Distributed Computing

74

Cloud Data Warehouses (Snowflake, BigQuery)

75

Model Deployment & Serving

76

Monitoring & Model Drift Detection

77

Data Engineering for Analytics

78

Real-time Analytics

Advanced Topics & Specializations

The frontier of analytics. Where innovation meets application.

79

Time Series Forecasting

80

Anomaly Detection

81

Recommendation Systems

82

Causal Inference

83

Bayesian Analytics

84

Graph Analytics

85

Computer Vision Applications

86

Generative AI & LLMs

87

Ethical AI & Data Privacy

88

Storytelling & Communication

The Power of Data-Driven Decisions

Data analytics is not about numbers. It's about understanding the world through numbers. It's about asking the right questions, finding patterns, and telling compelling stories that drive change.Master data analytics, and you master the future. Every insight is a decision, every decision shapes the world.

Explore Other Learning Paths

Master multiple skills to become unstoppable.

Start Your Data Analytics Journey

Join our community and become a data analyst. From statistics to machine learning, from visualization to big data, master the complete analytics stack.