How to Become a Data Analyst
Complete Roadmap FOR 2024
Basic to advacne
Who is Data Analyst ?
Being a Data Analyst is like being a detective for Numbers.
Data Analyst collect and clean information, find patterns in the data and use statistics to help businesses make smart decisions.
They’re like the behind-the-scenes heroes who uncover important insights, allowing businesses to improve and grow based on what the data tells them.
What is Data Analysis?
Data Analysis is the process of inspecting, cleaning, transforming, and interpreting data to discover meaningful patterns, draw conclusions, and support decision-making.
It involves examining information to extract insights, identify trends, and gain a deeper understanding of the underlying relationships within the data.
Why Data Analyst?
As a Data Analyst, you’ll tackle real-world problems using data.
In this tech-savvy world, the need for Data Analysts is booming.
Companies are in a race to stay ahead, and that’s where your skills come in. You’ll be the superhero helping them compete and thrive in this fast-paced landscape.
As a Data Analyst, you dive into raw data to uncover insights that help companies plan their future.
If you enjoy thinking creatively, this is the spot for you. Data Analysts bridge the world of business and data, boosting productivity. Plus, it pays well – over $70k to $80k globally and around 4 to 5 LPA in India for starters.
Level 1 Technical Skills
- Logical Thinking ( Problem – Solving )
- Domain Knowledge
- Basic Math & Stats
- Database Knowledge
- Data Modeling
- Data Collection ( ETL )
- Data Cleaning
- Data Analysis ( EDA )
- Data Manipulation ( Feature engineering )
- Data visualizations ( Dashboards & Reports )
- Data Storytelling
Level 2 Technical Skills
- Data Warehouse
- Data Mining
- Big Data Technologies
- Cloud Computing
- Machine Learning
- Predictive Modeling & Forecasting
Level 1 Learning
- Microsoft Excel
- Basic Mathematics & Statistics
- Power BI / Tableau
- SQL
Level 2 Learning
- Python / R
- Py – Libraries & Jupiter notebook
- ( Numpy, Pandas, Matplotlib & Seaborn )
- R – Libraries
- ( Dplyr, Ggplot2, Tidyr, Readr & Caret )
Level 3 Learning
- Apache Spark / Hadoop
- SAS
- Big Query
- Google Cloud /AWS / Azure
- KNIME
- MongoDB
Never Give up Great Things Take Time
Learning the basics to advanced skills in Data Analysis is an empowering journey.
Remember, every step you take in learning Data Analysis brings you closer to becoming a proficient Analyst.
Enjoy the process, stay curious, and let the enthusiasm for data guide you toward mastering this valuable skill.
” Happy learning & Learn by doing ! “
Coming Up Next
I’ll be sharing the best resources for learning Data Analytics in an upcoming blog post.
Stay tuned for a comprehensive guide to kickstart your journey into the world of effective and structured Data Analytics learning !
