In this article, we bring you the tips, platforms, and technology you’ll need to learn data analytics & become a data analyst in Nigeria.
The Data analytics field is becoming a hotcake not just in Nigeria, but all over the world, the importance of having knowledge of data analytics can not be overemphasized. in this article, we bring you a guide on how to learn Data Analytics and become a great data analyst in Nigeria.
Before we continue it’s good you understand what Data analytics is, Data analytics isย the process of analyzing raw data in order to draw out meaningful, actionable insights.
Data Analytics is an emerging field of study. It is also finding application in every facet of the Business world. There are now job titles like flight Data Analyst, Business Data Analyst, Logistics Data Analyst, etc.
To move from a Data Novice to a Data Expert, learn Data in this wise;
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Aim – To Understand the fundamentals of Data Analysis
Tools to Learn
1. Ms. Excel/Google Sheets
2. Power BI/Tableau
Specific Aptitude to Develop
– Data Query from primary sources
– Data Cleaning and manipulation
– Data Structures and summaries (pivot tables)
– Basic Dashboard reports
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Aim – To Solve Basic Business Problems with Data Insights
Tools to Learn
1. SQL (My SQL and PostgreSQL)
2. Advanced Excel
– Developer functions
– Formula and Functions
– Combo Charts
– Dynamic and KPI Dashboards
3. Advanced PowerBI
– DAX functions
– Additional Visual Tools (You need a Microsoft site mail to access this)
4. Writing Data Reports
5. Business communication
Specific Aptitude to Develop
– Data Structures
– Power Queries
– Data Connections
– Visualization controls
– Data Structures and marries (pivot tables)
– Basic Dashboard reports
You should have built 12 Data Analysis Projects on attaining this Level. Choose a Data Domain to build Domain Knowledge, E.g. Flight Data
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Aim – To wrangle and model Data from all sources
Tools to Learn
1. Python
– Basic Python Coding
– Matplot and Seaburn
– Numpy and Scipy
– Pandas
2. R
3. Basic Machine Learning with Skilearn
Specific Aptitude to Develop
– Data wrangling from social media
– Advanced Visualization E.g. Word map
– Predictive Science
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To gain expert proficiency in data analysis, you should focus on deepening your knowledge and skills in the following areas:
1. Advanced statistics:
You should have a thorough understanding of advanced statistical methods such as regression analysis, time-series analysis, factor analysis, clustering, and hypothesis testing.
2. Data modeling and machine learning:
Data modeling is the process of building mathematical models to represent complex datasets, and machine learning involves using algorithms to identify patterns in data.
3. Data visualization and communication: Expert data analysts should be able to create visually appealing and effective visualizations to communicate insights to stakeholders. You should also be able to communicate your findings in a clear and concise manner to both technical and non-technical audiences.
4. Big data technologies:
With the increasing volume and complexity of data, it is important to have knowledge of big data technologies such as Hadoop, Spark, and NoSQL databases. You should have experience working with large-scale datasets and be able to design and implement distributed data processing pipelines.
5. Business acumen:
Expert data analysts should have a deep understanding of business operations, goals, and objectives. You should be able to align data analysis with business needs and make recommendations that drive business outcomes.
6. Data ethics and governance:
With the increasing importance of data privacy and security, it is important to have knowledge of data ethics and governance. You should understand best practices for data management, storage, and security, as well as legal and ethical considerations related to data collection and analysis.
So, if you are ready to take the Data journey, I have presented you with a perfect guide. Go and start your learning.
ALSO READ: Business Ideas for university students in Nigeria
where to Learn Data Analytics
There is the plenty of free and paid platforms from which you can learn Data Analytics from anywhere in the world, this includes:
YouTube
Udemy
Coursera
etc.
Conclusion
If you have any questions related to Data analysis in Nigeria or how to learn it kindly drop them in the comment section below as we try to answer you.
