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Data Analyst Roadmap Roadmap | SlaveCode
Data Analyst Roadmap
Step by step guide to becoming an Data Analyst in 2026
Back
Roadmap
Vedios and Other Resources
Projects
AI Tutor
Data Analyst
Learn Common Functions
Popular ML Algorithms
Learn Different Techniques
Machine Learning Types
Libraries for Cleanup
Building a Strong Foundation
Gain Programming Skills
Mastering Data Handling
Data Analysis Techniques
Advanced Topics
Tools
Libraries
Charting
Data Processing Frameworks
Data Processing Techniques
Learn the Basics
Frameworks
Practice Training Models
Keep learning with the following relevant track
Generating Statistics
Build a portfolio of projects. Some example projects:
1) Predicting sales trends 2) Customer Segmentation.
Participate in Kaggle Competitions
Participate in competitions and learn from community
Online Courses and Certifications
Platforms like Coursera, edX, Udemy and Datacamp offer courses in
Data Analytics and related topics.
Stay Updated and Network
Join networking events, communities, seek mentorship, attend
webinars and engage in discussions to expand your network.
AI / Data Science
Python
Learn SQL
ML Roadmap
Python
Power BI
R
R
BI Analyst
Related Roadmaps
AI & Data Scientist
Python for Data Analysis
R Programming
BI Analyst
SQL
Power BI
Introduction
What is Data Analytics
Types of Data Analytics
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Key Concepts of Data
Collection
Cleanup
Exploration
Visualisation
Statistical Analysis
Machine Learning
Excel
IF
DATEDIF
VLOOKUP / HLOOKUP
REPLACE / SUBSTITUTE
UPPER / LOWER / PROPER
CONCAT
TRIM
AVERAGE
COUNT
SUM
MIN / MAX
Charting
Pivot Tables
Learn a Language
Data Manipulation Lib's.
Data Viz. Libraries
Data Collection
Databases
CSV Files
APIs
Web Scraping
Data Cleanup
Handling Missing Data
Removing Duplicates
Finding Outliers
Data Transformation
Pandas
Dplyr
Descriptive Analysis
Dispersion
Distribution Shape
Mean
Median
Mode
Range
Variance
Standard Deviation
Skewness
Kurtosis
Central Tendency
Tableau
Matplotlib
Seaborn
ggplot2
Bar
Line
Scatter
Funnel
Histograms
Stacked
Heatmap
Pie
Data Visualisation
Statistical Analysis
Hypothesis Testing
Correlation Analysis
Regression
Visualizing Distributions
Machine Learning
Reinforcement Learning
Unsupervised Learning
Supervised Learning
Decision Trees
Naive Byes
K-Means Clustering
Model Evaluation
Big Data Technologies
Big Data Concepts
KNN
Logistic Regression
Parallel Processing
Hadoop
Spark
MPI
MapReduce
Deep Learning (Optional)
Neural Networks
CNNs
RNN
Tensorflow
Pytorch
Image Recognition
NLP
Data Storage Solutions