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
The course covers essential data analytics skills, including data collection, cleaning, visualization, and predictive modeling. It is designed for beginners and professionals aiming to enhance their data skills.
At STAD Solution you get practical projects, flexible learning methods and placement options which is why this is among the best data analytics training centers in Noida.
You will obtain practical skills, receive a professional certification that is globally recognized, get training opportunities and work with an expert to enhance your jobs prospects in analytic vacancies.
Yes, students are provided with placement assistance at STAD Solution so that students can get good job opportunities after the course completion.
The Data Analytics Course focuses on analyzing data to draw insights, while a data science course also includes advanced topics like machine learning and data engineering.
Owing to their high training quality and wide-range support, STAD Solution has come out to be one of the most feasible options for data analytics courses in Noida.
Students with only basic education backgrounds and who are focused on data analytics are welcomed. No prior Knowledge is a prerequisite for this course.
Yes, after finishing the data analytics course, you will be ready for further training in data science.
Yes, students are awarded an accredited certificate upon conclusion of the program.
To enroll, you must complete an online application on the STAD Solution’s website followed by the enrollment procedures provided by the admission counselor.
The training includes hands-on projects that simulate real-world scenarios, helping you apply data analytics techniques in practical settings.