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
With its hands-on approach to teaching, experienced instructors and placement assistance, STAD Solution is the best provider of data analytics training in Lucknow.
Key tools such as SQL, Python, and Excel and data visualization tools such as Tableau will be taught to students, enabling them to work on real analysis projects.
STAD Solution also assists with placement services, resume writing, and mock interview sessions as well as provides references for employment to ensure the students do not struggle to get employed.
We are competitive in pricing and also have flexible payment plans to ensure that interested learners can afford training in Lucknow.
This is a beginner's course so most of the basic concepts are taught and there are no prerequisites which means almost anyone can take this course.
You can come to terms with the course duration but regularity in studies assures completion in three to six months for the majority of students.
Of course, STAD Solution is very competitive and employers appreciate their certifications as proof of quality data science training and analytics.
Definitely. The course structure is quite flexible to accommodate professionals who work.
By the end of the Programme, you will have completed various projects addressing data cleaning, data visualization, and data analysis which are job-oriented and make you ready for the industry.
Graduates can apply for roles in various industries with a high demand for data skills, like finance, healthcare, and marketing.
STAD Solution believes in providing assistance through live question and answer sessions, instructors, and devoted mentors to clear doubts.
The pass-outs can seek continuous help in terms of job hunting, skill upgrading, and business contacts for the rest of their careers.