What is Data Analytics?
Data Analytics is a highly sourced field that is focused on helping individuals and organizations make sense of data. Data analysts typically analyze raw data for insights and trends. They use various tools and techniques to help organizations make decisions and succeed.
A Data Analyst is a person who takes a career in Data Analytics.
A data analyst will extract raw data, organize it, and then analyze it, transforming it from incomprehensible numbers into coherent, intelligible information. Having interpreted the data, the data analyst will then pass on their findings in the form of suggestions or recommendations about what the company’s next steps should be.
Importance of Learning Data Analytics:
- Data Analytics is a well-paid discipline all over the world. Data Analyst around the world earn greatly
- Data Analytics can be done by anyone irrespective of their degree.
- Data Analytics is widely used across various sectors
- There is continuous demand for Data Analyst around the world
- Data Analyst can work remotely and earn even from home
- It is not a course that requires a long time to learn like a degree.
- Data Analyst are well respected and needed in top companies in the world
- The need for data Analysts will continue to exist as big data keeps being on the rise.
- The benefits of Data Analytics in business are enormous as it greatly helps businesses make informed business decisions
What are the analytical tools used in data analytics?
There are various tools used in data analysis. They utilize tools such as Excel, Python, SQL, Power BI, and Tableau.
Microsoft Excel is a software program that enables you to organize, format, and calculate data using formulas within a spreadsheet system. Microsoft Excel may be used by data analysts to run basic queries and to create pivot tables, graphs, and charts.
Python is one of the most in-demand programming languages today and it’s considered the preferred language for machine learning. It stands out for being very flexible, allowing you to build solutions for various use cases. Plus, it’s fairly straightforward to learn and write. It’s a highly used data analytic tool.
SQL for data analysis refers to the database querying language’s ability to interact with multiple databases at once, as well as its use of relational databases. SQL is one of the most commonly used and flexible languages, as it combines a surprisingly accessible learning curve with a complex depth that lets users create advanced tools and dashboards for data analytics.
To create and interact with databases quickly, SQL has been adapted into a variety of proprietary tools, each with its own focus and niche market, including the popular MySQL, Microsoft Access, and PostgreSQL.
While it remains largely popular for its ability to create and interact with databases quickly, SQL is also commonly used because it is a simple language capable of performing surprisingly complex data analysis
Microsoft Power BI:
Microsoft Power BI is used to find insights within an organization’s data. Power BI can help connect disparate data sets, transform and clean the data into a data model, and create charts or graphs to provide visuals of the data. All of this can be shared with other Power BI users within the organization.
Tableau:
This is a Visualization tool. Used for creating dashboards and visualizing data
Tableau is a leading data visualization tool used for data analysis and business intelligence.
The average salary of a Data Analyst
The estimated total pay for a Data Analyst is NGN 390,000 per month in Nigeria, moreover, abroad, the estimated pay of a Data Analyst is well over $70,000 to $120,000 per year.
Remote jobs abound that pay over $100 per day.
In Nigeria, it’s fast becoming a great and most wanted IT skill.
- Register with Myteacher for the course program
- Begin with Analytical tools like Excel, Python
- Then take on SQL (Database)
- Visualization tools: Tableau or Power BI
Why Choose Data Analytics as a Career?
From healthcare and technology, to finance and retail, all organizations are utilizing large datasets for various reasons. This presents an exciting opportunity for individuals who want diverse work experience or those who want to specialize in one particular industry. Data analysts have the potential to help shape business decisions by leveraging their knowledge of market trends, customer behavior patterns, and other key insights. Most entry-level jobs in the field of data analytics command a healthy starting salary, and there is room to grow into significant earning potential over time. Many companies offer competitive salaries that reflect the importance they place on having top professionals conducting their analytics.
What you will learn
A. DATA ANALYTICS USING EXCEL
1. Introduction to Excel Application Environment
2. Formatting Data in Excel
3. Excel Formulas and their Types
4. Types of Cell Referencing used in Excel Formulas
5. Creating Formulas with Excel Mathematical Operators and Functions.
Template designs
6. Creating and Automating Invoice, Payroll Analysis, School Academic Results, Amortization, and Promotion Schedule Templates in Excel.
7. Creating Functions in Excel.
a. SUM
b. AVERAGE
c. IF, Nested IF
d. COUNT, COUNTA
e. VLOOKUP and HLOOKUP
f. AND and OR
DATA ANALYTICS USING EXCEL
8. Statistic and Hypothesis Testing Principles and Excel’s Data Analysis Tools pack for Data Analytics.
9. Formula Auditing, Data Validation and Formula Evaluation Skills.
10. Creating and Edit Charts (Graphs).
11. Creating Pivot Tables for Analyzing Data for a CHI Square Test.
12. Analyzing Data for Descriptive Statistics, Correlation, Covariance, and T.
13. Analyzing Data for Simple Linear Regression Test, Rank, and Percentile.
14. Analyzing Data for Multiple Linear Regression Tests, and ANOVA
15. DASHBOARD.
B. PYTHON PROGRAMMING FOR DATA ANALYSIS
Course Outline
- Introduction to Programming
- Python programming language
- Print statement
- Literals
- Variables
- Data types
- Conditionals (if statements)
- Loops (for and while loop)
- string
- List
- Tuple
- Set
- Dictionary
- Error handling
- Reading and writing files
- Functions
- Classes
- Working with Pandas and Numpy
- Numpy arrays
- Panda series
- Panda Dataframe
- Pandas read_csv
- Data exploration with pandas
- Data cleaning with pandas
- Data aggregation with pandas
- Data visualization with matplotlib
SQL FOR DATA ANALYTICS
Creating Database
Connecting database
SQL Queries
Retrieving and Selecting Data with SQL
SQL Joins
Modify tables
Modifying and Analyzing Data with SQL
POWER BI (VISUALIZATION)
1. Introduction to Power BI with a focus on the components and architecture of the Power Service.
2. Understanding the Power BI and Power Query Application Environment.
3. Identifying the data types and variable types accepted by Power BI.
4. Importing or Getting Dataset from various online sources.
5. Importing or Getting Dataset from different Offline sources or formats.
6. Transforming Datasets in Power Query.
7. Creating Relationships between tables of datasets in Power BI.
8. Performing basic DAX measures in Power BI
9. Differentiating between the Tile, Reports, or Dashboards when working on the Canvas.
10. Creating Visualisations by drag and drop technique in Power BI.
11. Using the Power Q&A for Designing Reports with filters, Slicers, and Narratives.
12. Saving and Sharing Report.
N/B: This Syllable is subject to subsequent adjustment to fit the current improvements in the course
OFFLINE CLASSES
Offline classes are held at our centers in Port Harcourt:
Myteacher Institute 14 Rumuagholu Road Tessy school junction Rumuagholu off Rumuokoro Flyover Port Harcourt
Myteacher Institute opposite Palflox filling station by Police post-Eliozu Port Harcourt
We offer:
Certificate Courses (Single Tools)
Diploma Programme (combination of all the major tools)
On completion of the programme, you will be certified as a Data Analyst
DIPLOMA DATA ANALYTICS
In this course you will take these Tools as one programme for a period of 18weeks (4 months and 2 weeks)
Excel – 1 month
Python- 2 months
SQL – 1 month
Power BI or Tableau – 2 weeks
FULL STACK COURSE FEES: N200,000 , DISCOUNT OF 40%, (N210,000)
Duration: 4 months
Do you need online classes, Join the Online School
Click below to join the Online LIVE School
#learn data analytics in portharcourt
#learn data analytics in Nigeria, Port Harcourt, Lagos, worldwide
