DATA ANALYST ROADMAP
What is Data Analytics?
Data Analytics is about examining data to find useful information. It helps businesses
make smart decisions, improve their operations, and discover new opportunities by
cleaning, transforming, and modeling data.
What Does a Data Analyst Do?
A Data Analyst collects, processes, and analyzes data to find trends and insights. They
help organizations make data-driven decisions.
Steps in Data Analysis:
Define the Objective:
● Understand the business problem and set clear goals for what you want to achieve
with the analysis.
Data Collection:
● Identify where to get the data from and collect data from the identified sources.
Data Cleaning and Preprocessing:
● Remove duplicates, fix errors, and handle missing data and transform the data into
a usable format.
Exploratory Data Analysis (EDA):
● Look at the data to find patterns and trends and use summaries and visualizations
to understand the data better.
Data Modeling:
● Apply statistical & basic machine learning (Optional) models, aggregation to
analyze the data and validate the models to ensure they meet the objectives.
Data Visualization:
, ● Create visual representations like charts and graphs using tools like Excel,
Tableau, or Power BI.
Reporting and Interpretation:
● Summarize the results and Provide insights and recommendations based on the
analysis.
Communicating Results:
● Present the findings to stakeholders in a clear and understandable way and use
simple storytelling techniques to make the data insights relatable.
Let’s Start with our Roadmap !!
Syllabus:
- Statistics & Mathematics
- SQL
- MS Excel
- Python
- Power BI / Tableau
- Projects
- Pro Tips
1. Maths & Statistics (𝐖𝐞𝐞𝐤 𝟏 ):
Statistics & Maths Syllabus:
▪ Basic Statistics: Mean, Median, Mode, Standard deviation, Normal distribution,
Measure of dispersion with Variance And SD, Percentiles and Quartiles, Probability
▪ Basic Math: Arithmetic, Weighted average, Cumulative sum
What is Data Analytics?
Data Analytics is about examining data to find useful information. It helps businesses
make smart decisions, improve their operations, and discover new opportunities by
cleaning, transforming, and modeling data.
What Does a Data Analyst Do?
A Data Analyst collects, processes, and analyzes data to find trends and insights. They
help organizations make data-driven decisions.
Steps in Data Analysis:
Define the Objective:
● Understand the business problem and set clear goals for what you want to achieve
with the analysis.
Data Collection:
● Identify where to get the data from and collect data from the identified sources.
Data Cleaning and Preprocessing:
● Remove duplicates, fix errors, and handle missing data and transform the data into
a usable format.
Exploratory Data Analysis (EDA):
● Look at the data to find patterns and trends and use summaries and visualizations
to understand the data better.
Data Modeling:
● Apply statistical & basic machine learning (Optional) models, aggregation to
analyze the data and validate the models to ensure they meet the objectives.
Data Visualization:
, ● Create visual representations like charts and graphs using tools like Excel,
Tableau, or Power BI.
Reporting and Interpretation:
● Summarize the results and Provide insights and recommendations based on the
analysis.
Communicating Results:
● Present the findings to stakeholders in a clear and understandable way and use
simple storytelling techniques to make the data insights relatable.
Let’s Start with our Roadmap !!
Syllabus:
- Statistics & Mathematics
- SQL
- MS Excel
- Python
- Power BI / Tableau
- Projects
- Pro Tips
1. Maths & Statistics (𝐖𝐞𝐞𝐤 𝟏 ):
Statistics & Maths Syllabus:
▪ Basic Statistics: Mean, Median, Mode, Standard deviation, Normal distribution,
Measure of dispersion with Variance And SD, Percentiles and Quartiles, Probability
▪ Basic Math: Arithmetic, Weighted average, Cumulative sum
