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 Science Course in Ahmedabad offered by our institution provides real-life experience such as Python Basics, Machine Learning, etc.
Yes, the course is created for data science beginners considering that it gives foundation knowledge together with practical skills.
This is correct, upon completion, you will receive a recognized data science certificate validating your expertise and competencies.
Definitely! Our boot camp is very intense and covers almost everything about data science.
Our Advanced Data Science Course in Ahmedabad covers areas like Data Science and Machine Learning for those who want to get deeper knowledge.
Of course, we have a Data Science course, which is available for studying in Ahmedabad online and on one’s own schedule.
You will learn elementary software such as Python, Pandas and NumPy via our module on Python-Based Data Science in Ahmedabad.
Upon successful completion of our data science program, students will be prepared to enter professions like business analyst, database manager, machine learning engineer or others.
In this regard, STAD Solution is ranked as one of the best courses for Data Science In Ahmedabad due to its curriculum that is all-inclusive and well-knowledged tutors.
Depending on your level and speed of courses, several months should complete our data science training
Yes, it covers machine learning alongside data science.
If you would like some individual guidance, make sure you ask our boot camp or other classmates about your curriculum.
It is advisable that one has basic knowledge of programming and statistics when learning about the Advanced Data Science course in Ahmedabad.
For enrollment purposes into these Best Data Science courses in Ahmedabad, it’s quite simple. Call us to help you with registration.