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 data analytics course at STAD Solution typically spans a few months, with flexible scheduling options to accommodate both beginners and working professionals.
Yes, our data analytics training is fully online, and accessible to learners in Indore and beyond, providing flexibility and convenience.
Course fees may vary based on course length and resources provided. Please contact STAD Solution for the latest fee structure for the data analyst course in Indore.
Yes, STAD Solution offers placement support to help graduates find relevant job opportunities in data analytics.
The program teaches tools that are relevant in the data analytics job market such as Excel, SQL, Power BI and Python.
STAD Solution focuses on all categories of learners hence, no prior knowledge are essential in relation to attending our data analytics course outline.
The course is structured into modules and covers areas such as data wrangling, exploratory data analysis, visualization and its application.
Of course, due to STAD Solution’s providing courses in the online mode, working professionals can learn while on the job and at their own pace.
Graduates could find opportunities in finance, healthcare, retail, and IT as data analytic skills are in demand in many industries.
There is a strong need for skilled data analysts and companies in Indore are progressively looking for such professionals for data analyzing purposes.
Yes, a certificate is issued on completion of the course.
Data science courses are broader in scope in other areas such as advanced machine learning whereas data analytics training puts emphasis on data interpretation and visualization.