Data Analytics

Data analytics involves examining, cleaning, and interpreting data to discover valuable insights. It aids in informed decision-making, business optimization, and understanding trends.

Skill9 - Data Analytics

Data analytics involves examining, cleaning, and interpreting data to discover valuable insights. It aids in informed decision-making, business optimization, and understanding trends.

Course Brochure

  • For whom this Course is meant?

    ✔ Designed for any undergraduates or job seekers and professionals who want to enhance their technical knowledge.
    ✔ Studying/Studied GRADUATION.
    ✔ Any Graduate/engineer who is interested in Testing.
    ✔ Freshers/Graduates.
    ✔ Non-programming engineers.

  • Why take this course?

    ✔ Open to undergraduates, job seekers, and professionals seeking to enhance their data analytics skills.
    ✔ T Suitable for current or past college graduates.
    ✔ This Engineers and graduates interested in the field of Data Analytics.
    ✔ New graduates and entry-level professionals. Even if you're not a programmer, you're welcome.

  • What you will learn?

    ✔ Gain practical data analytics experience, making it accessible for newcomers to dive into real-world data projects.
    ✔Acquire the essential data coding skills required for job interviews and a successful career.
    ✔ Build the confidence to start working as a Data Analyst from your first day on the job.
    ✔ Affordable course fees.
    ✔ Your performance will increase through activities like presentations. Assignments, Mock Interviews & mock tests will run regularly.
    ✔ Learn how to analyze data from scratch.
    ✔ Understand the principles of agile project management and SCRUM methodologies in the context of data analytics.
    ✔ Gain expertise in automating data analysis tasks with a focus on tools like Python, R, and SQL.
    ✔ Understand the importance of data integrity and data security in data analytics.

Data Analytics Overview
Importance of Data Analytics
Types of Data Analytics
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Benefits of Data Analytics
Data Visualization for Decision Making
Data Types, Measure of Central tendency
Measures of Dispersion
Graphical Techniques
Skewness& Kurtosis
BoxPlot
Descriptive Stats
Sampling Funnel, Sampling Variation, Central
Limit Theorem, Confidence interval
Excel tutorial
Text to Columns
Concatenate
Concatenate
The Right Function with Concatenation
Absolute Cell References
Data Validation
Referring data from different tables: Various types of Lookup, Nested IF
LOOKUP
VLOOKUP
NESTED VLOOKUP
INDEX
INDEX WITH MATCH FUNCTION
INDIRECT
OFFSET
Time and Date Calculations
Introduction to Database
Introduction to RDBMS
Explain RDBMS through normalization
Different types of RDBMS
Software Installation(MySQL Workbench)
SQL Commands and Data Types
Types of SQL Commands (DDL,DML,DQL,DCL,TCL) and their applications
Data Types in SQL (Numeric, Char, Datetime)
DQL & Operators
SELECT
LIMIT
WHERE AND, OR, IN, NOT IN, BETWEEN, EXIST, ISNULL,
Wild Cards, ORDER BY, Retrieve Data using the SQL SELECT Statement
Learn to Restrict and Sort Data
Usage of Single-Row Functions to Customize
Output
Start Page
Connecting to Excel Files
Connecting to Text Files
Connect to Microsoft SQL Server
Connecting to Microsoft Analysis Services
Creating and Removing Hierarchies
Bins, Joining Tables, Data Blending, Parameters, Edit Groups, Combined Sets
Get Started with Power Bl
Overview: Power BI concept
Upload a local CSV file
Connect to Excel data that can be refreshed
Connect to a sample
Create a Report with Visualizations
Explore the Power Bl portal
The Power Bl user interface, including types of data sources and visualizations
Getting familiar with the interface B1 Query & Desktop
Understanding type of Visualisation
Loading data from multiple sources
Implementation of Formating techniques
Power Query Editor
Loading data from folder
Understanding Power Query in detail
Promote header, Split to limiter, Add columns, append, merge queries etc
The print statement
Comments
Python Data Structures & Data Types
String Operations in Python
Simple Input & Output
Simple Output Formatting
Deep copy