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📅 Daily Learning Planner

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Thursday, 13 Aug 2026

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Tasks for 13 Aug

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Suggested day-by-day plan

Two topics per day covers the whole roadmap in 75 study days.

  • Day 1

    Data Analytics Fundamentals

    What is Data Analytics? + The Data Analyst role

  • Day 2

    Data Analytics Fundamentals

    Data types + Structured vs unstructured

  • Day 3

    Data Analytics Fundamentals

    Data collection + Data cleaning

  • Day 4

    Data Analytics Fundamentals

    Data analysis + Data visualization

  • Day 5

    Data Analytics Fundamentals

    EDA + KPIs

  • Day 6

    Data Analytics Fundamentals

    Business questions + Basic statistics

  • Day 7

    Excel

    Excel interface + Rows and columns

  • Day 8

    Excel

    Cell references + Formatting

  • Day 9

    Excel

    Sorting + Filtering

  • Day 10

    Excel

    SUM + AVERAGE

  • Day 11

    Excel

    COUNT + COUNTA

  • Day 12

    Excel

    IF + IFS

  • Day 13

    Excel

    AND / OR + SUMIF / SUMIFS

  • Day 14

    Excel

    COUNTIF / COUNTIFS + VLOOKUP

  • Day 15

    Excel

    XLOOKUP + INDEX

  • Day 16

    Excel

    MATCH + Pivot Tables

  • Day 17

    Excel

    Pivot Charts + Conditional Formatting

  • Day 18

    Excel

    Data Cleaning + Power Query

  • Day 19

    Excel

    Excel Dashboards + SELECT

  • Day 20

    SQL

    FROM + WHERE

  • Day 21

    SQL

    DISTINCT + ORDER BY

  • Day 22

    SQL

    LIMIT + COUNT

  • Day 23

    SQL

    SUM + AVG

  • Day 24

    SQL

    MIN / MAX + GROUP BY

  • Day 25

    SQL

    HAVING + INNER JOIN

  • Day 26

    SQL

    LEFT JOIN + RIGHT JOIN

  • Day 27

    SQL

    FULL JOIN + SELF JOIN

  • Day 28

    SQL

    CASE + Subqueries

  • Day 29

    SQL

    CTE + UNION

  • Day 30

    SQL

    UNION ALL + Window functions

  • Day 31

    SQL

    ROW_NUMBER + RANK

  • Day 32

    SQL

    DENSE_RANK + LAG

  • Day 33

    SQL

    LEAD + PARTITION BY

  • Day 34

    SQL

    NULL handling + Date functions

  • Day 35

    SQL

    String functions + Real-world SQL problems

  • Day 36

    Power BI

    Import data + Data cleaning

  • Day 37

    Power BI

    Transform data + Merge

  • Day 38

    Power BI

    Append + Data types

  • Day 39

    Power BI

    Relationships + Primary key

  • Day 40

    Power BI

    Foreign key + Fact tables

  • Day 41

    Power BI

    Dimension tables + Star schema

  • Day 42

    Power BI

    SUM + CALCULATE

  • Day 43

    Power BI

    FILTER + COUNT / DISTINCTCOUNT

  • Day 44

    Power BI

    DIVIDE + IF

  • Day 45

    Power BI

    Cards + Tables & matrix

  • Day 46

    Power BI

    Bar charts + Line charts

  • Day 47

    Power BI

    Pie charts + Slicers & filters

  • Day 48

    Power BI

    Drill-through + KPIs

  • Day 49

    Power BI

    Sales dashboard + HR dashboard

  • Day 50

    Power BI

    Finance dashboard + Variables

  • Day 51

    Python for Data Analysis

    Data types + Conditions

  • Day 52

    Python for Data Analysis

    Loops + Functions

  • Day 53

    Python for Data Analysis

    Lists + Tuples

  • Day 54

    Python for Data Analysis

    Sets + Dictionaries

  • Day 55

    Python for Data Analysis

    Exception handling + Arrays

  • Day 56

    Python for Data Analysis

    Indexing + Slicing

  • Day 57

    Python for Data Analysis

    reshape + arange

  • Day 58

    Python for Data Analysis

    zeros / ones + Aggregations

  • Day 59

    Python for Data Analysis

    read_csv + head / tail

  • Day 60

    Python for Data Analysis

    info + describe

  • Day 61

    Python for Data Analysis

    shape / columns + loc

  • Day 62

    Python for Data Analysis

    iloc + Filtering

  • Day 63

    Python for Data Analysis

    Sorting + Missing values

  • Day 64

    Python for Data Analysis

    Duplicate handling + groupby

  • Day 65

    Python for Data Analysis

    merge + concat

  • Day 66

    Python for Data Analysis

    pivot_table + Matplotlib

  • Day 67

    Python for Data Analysis

    Seaborn + EDA project

  • Day 68

    Statistics

    Mean + Median

  • Day 69

    Statistics

    Mode + Range

  • Day 70

    Statistics

    Variance + Standard deviation

  • Day 71

    Statistics

    Percentiles + Probability

  • Day 72

    Statistics

    Normal distribution + Correlation

  • Day 73

    Statistics

    Covariance + Outliers

  • Day 74

    Statistics

    Sampling + Confidence intervals

  • Day 75

    Statistics

    Hypothesis testing + A/B testing basics