Course Overview
Curriculum
What is Data Analytics?
Importance of Data Analytics in Business
Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
Basic Functions and Formulas
Arithmetic Operations
Statistical Functions
Data Cleaning and Preparation
Removing Duplicates
Data Formatting
Data Visualization
Charts and Graphs
Conditional Formatting
Pivot Tables and Pivot Charts
Creating and Analyzing Pivot Tables
Understanding Databases
Basic SQL Commands : SELECT, INSERT, UPDATE, DELETE
Filtering Data
Joins and Subqueries
Joins and Subqueries
INNER JOIN, LEFT JOIN, RIGHT JOIN
Writing Subqueries
Python Basics
Syntax and Data Types
Control Structures (Loops and Conditionals)
Working with Libraries
Installing Libraries (pip)
Introduction to Jupyter Notebook
DataFrames and Series
Data Cleaning and Preparation
Handling Missing Data
Filtering and Selecting Data
Data Aggregation and Grouping
Merging and Joining Data Frames
Introduction to NumPy
Arrays and Their Properties
Array Operations
Mathematical Functions
Statistical Functions
Data Visualization with Power BI
Introduction to Power BI
Power BI Desktop vs. Power BI Service
Data Importing and Preparation
Connecting to Data Sources
Data Transformation using Power Query
Creating Reports and Dashboards
Visualizations: Charts, Tables, Maps
Slicers and Filters
Introduction to Tableau
Connecting to Data Sources
Creating Basic Visualizations
Bar Charts, Line Charts, Scatter Plots
Building Dashboards
Combining Visualizations
Interactivity in Dashboards
Real-world Data Analysis Project
Applying Skills Learned
Data Collection, Cleaning, Analysis, and Visualization
Presentation of Findings
Introduction to Git and GitHub
Setting Up a GitHub Account
Basic Git Commands
Git init, Git add, Git commit, Git push
Collaborating on GitHub
Forking and Cloning Repositories
Pull Requests
Task management
Communication Skills
Presentation Skills
- Resume Prep
- LinkedIn
- Job Hunting & outreaching
- Interview Preparation
- Mock Interviews
FAQs
There are several scheduling options that one can choose from, which makes it easier for individuals who are working full-time and have other responsibilities to attend the course.
Not really. One may not need to have any technical understanding although basic knowledge is always good.
STAD Solution is competitively priced, with payment plans and financial assistance options, making it more accessible than many other courses.
Absolutely, STAD Solution has mentorship, one-on-one meetings, and feedback from the instructor to assist you with all the issues you may face
Most of the entry-level posts have reasonable starting salaries with further prospects of growth into the more paying positions like data scientist or analyst.
STAD Solution provides consultations that let you find out what material will be covered in the course and the way that the course in question is organized.
Yes, STAD Solution has connections with industry partners and may help you explore internships based on course performance.
STAD Solution’s program is more interactive, with hands-on projects, regular feedback, and direct access to experienced instructors.
Yes, topics such as finance, technology, and healthcare in London will be included in the projects and case studies in the curriculum.
Yes, since the course is predominantly online, students can enroll from any location and complete the course at whichever pace is suited to them.
Since all live sessions are recorded, you can view these sessions whenever it is convenient for you.
At STAD Solution, students benefit from a well-defined program, trained professionals, job assistance, and a real certificate of completion.
At STAD Solution, we believe encouraging practical work is essential, hence a number of practical activities and projects constitute a significant proportion of the course.