Overview of SQL and its importance in data science Creating databases and tables Inserting data into tables, import data SELECT queries and Filtering rows (where, and, or , not, like) Querying Multiple Tables with JOINS Understanding table relationships INNER JOIN, LEFT JOIN, RIGHT JOIN Using aliases for table names

Aggregate functions (COUNT, SUM, AVG, MAX, MIN) Grouping data with GROUP BY and Having ROW_NUMBER(), RANK(), DENSE_RANK() Understanding PARTITION BY and ORDER BY clauses Common Table Expressions (CTEs) Bulk operations with BULK INSERT and BULK DELETE

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Python automation
Engineering

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Python Automation Engineering

Our Data Analytics with Python and SQL course is part of our comprehensive IT curriculum. We employ a unique six-step process that sets us apart from other boot camps nationwide, ensuring our students receive personalized, industry-specific training that prepares them to thrive in the evolving world of technology.

Course Structure Overview

Student Dashboard

We provide an individual dashboard for each and every student of ours. It will help you track down all of your classes, materials and progress.

Online Live Classes

You can attend our data analytics class online in your own comfort. The classes will be live. You can engage efficiently during online classes.

Recording of the Classes

If you miss out on anything during our data analytics online training, you can easily access our recorded classes and keep up with the rest.

Resume Building

An organized resume can easily get you your targeted job. Our data analytics training online classes will assist you to build a standard job resume.

Interview Preparation

An interview is a gateway to getting a job. It is very crucial for landing a good job. Transfotech will also help you prepare for your interview.

Easy Enrollment

This online program of ours is very easy to register for. Your desired job is just a few clicks away.

What you will learn by doing the course

Data analysts with skills in Python and SQL are in high demand, with opportunities growing rapidly across industries. Learn data analytics online to unlock the power of data-driven decision-making and become a valuable asset in today’s data-centric world.

Build a solid foundation in data analytics principles and understand how to make data-driven decisions that support business goals.
Learn to harness Python for data manipulation, analysis, and visualization, enabling you to extract insights from complex datasets.
Master SQL for data retrieval and management, working with databases to organize, access, and analyze structured data efficiently.
Develop essential skills in cleaning, organizing, and preparing data, ensuring accuracy and reliability for analysis.
Create impactful visualizations that help communicate data insights clearly, using libraries like Matplotlib and Seaborn.

Practice EDA techniques to uncover patterns, trends, and relationships within data, leading to valuable business insights.
Apply statistical methods to analyze data distributions, correlations, and hypotheses, supporting data-driven decision-making.
Gain hands-on experience through projects that mirror real industry challenges, allowing you to apply your skills in practical scenarios.
Stay informed about the latest trends and best practices in data analytics, enhancing your competitive edge in the field.

Details about the course

Session 1: Introduction to Data Analytics

Introduction to Data Analytics
Responsibilities of a Data Analyst
The Data Ecosystem
Spreadsheet Basics – Part 1
Spreadsheet Basics – Part 2
Analyzing Data Using Spreadsheets
Career path in Data analytics and prospects with python
What do Employers look for in a Data Analyst

Session 2: Data visualization with Excel

Data Visualization and Dashboards
Using Visualizations to Tell a Data Story
Creating Basic Charts in Excel (Line, Pie, and Bar Charts)

Session 3: SQL Basic

Overview of SQL and its importance in data science
Creating databases and tables
Inserting data into tables, import data
SELECT queries and Filtering rows (where, and, or , not, like)
Querying Multiple Tables with JOINS
Understanding table relationships
INNER JOIN, LEFT JOIN, RIGHT JOIN
Using aliases for table names

Advance SQL

Aggregate functions (COUNT, SUM, AVG, MAX, MIN)
Grouping data with GROUP BY and Having
ROW_NUMBER(), RANK(), DENSE_RANK()
Understanding PARTITION BY and ORDER BY clauses
Common Table Expressions (CTEs)
Bulk operations with BULK INSERT and BULK DELETE

Session 4: Introduction to Python

Automation Testing Basic, Tools, Technology
Installation (Python, IDE, Selenium)
Your first Python program: Hello World!
Basic syntax: variables, operators, and expressions

Session 5: Control Flow and Looping

Conditional statements: if, else-if
Loop: for, while, break, continue
Problem Solving Fibonacci Sequence
Problem Solving Prime Number

Session 6: Continue with Python

Introduction to arrays, tuple, list, dictionary
Method, parameters and return type
Problem Solving : Range or prime number

Session 7: Continue with Python

Introduction to Object-Oriented Programming (OOP)
Classes and Objects
Constructor
OOP Principals
Creating classes

Session 8: File and Libraries

File Handling
Python Libraries
Numpy
Pandas
Loading data from csv, Excel and SQL

Session 9: WebScrapping

Extracting Stock Data Using a Python Library
Intro to Web Scraping Using BeautifulSoup
Analyzing Historical Stock

Session 10: Data Analysis with Python

Using libraries such as Pandas, Numpy and Scipy
Develop Python code for cleaning and preparing data for
analysis
Missing values, formatting, normalizing, and binning data
Exploratory data analysis and apply analytical techniques
Manipulate data using dataframes, summarize data
Understand data distribution, perform correlation and
create data pipelines

Session 11: Data visualization with Python

Python libraries: Matplotlib, Seaborn, and Folium
Create different types of charts: line, area, histograms, bar,
pie, box, scatter, and bubble
Create advanced visualizations: waffle charts, word
clouds, regression plots, maps with markers, & choropleth
maps
Power BI & Tableau

Session 12: AI and Machine Learning with Python

Introduction to Machine learning
Data distribution
Training dataset and Test Dataset concept
Creating Model
Training model
Predicting with Model
Advance concept of ML (NLP, Machine Learning, Deep
Learning)

Course Instructor

Zakir Hossain

Zakir Hossain is a seasoned professional with extensive experience in Data Analytics with Python and SQL, having worked with several Fortune 500 companies. Currently a Professor at International American University (IAU), Zakir is passionate about helping individuals secure employment in the tech industry. As an instructor at Transfotech Academy, he has empowered numerous non-coders to successfully transition into tech careers. His dedication to student success and industry expertise make him an invaluable asset to our team.

Feedback from our students

Raven Shepherd

I have been fully committed to cyber Security and Transfotech Academy is a very good place to expand your experience and knowledge or expertise in the technology industry. Give it a chance. All the instructor are down to earth people and they care about you and your future also will help you with your task in any area that you need help in. Really appreciated.

Patrica Hickman

I thought the online cyber security training was a great experience. The instructors were experienced and passionate about the subject matter, and they did a good job of keeping us engaged throughout the course. I really like the real-world examples they used to illustrate the concepts we were learning. And the instructors were always available to help.

Joseph Jones

The online cyber security training exceeded my expectations. The course content covered a wide range of topics from network security to ethical hacking. The online format was very convenient for me as I could take the course at my own pace and review the material as needed. I would highly recommend this course to anyone interested in cyber security.

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What is in this course

Data analytics overview
Data visualization with Excel
SQL basic
Python Programming
Web Crawling with Python
Python Library for Data Analytics
Data visualization with Python
Machine learning overview with Python

Quality Assurance

Business Analyst

Cyber Security

Data Analytics