About us
At TechJob Solution, we are dedicated to shaping the future of
education by empowering students with advanced skills and
knowledge in cutting-edge technologies. As a leading
educational technology company, our mission is to bridge the
gap between academia and the IT industry. We achieve this by
offering comprehensive training programs exclusively designed
to provide students with both practical expertise and real-
world experience. Our commitment to excellence ensures that
our students are well-prepared to meet the demands of the
ever-evolving tech landscape and succeed in their professional
careers.
3.
What makes usunique?
At Techjob Solution, we set ourselves apart by
creating a dynamic learning environment that fosters
innovation, cultivates expertise, and unleashes
individual potential. Our personalized approach to
education, along with hands-on training and
mentorship from industry leaders, empowers our
students not only to adapt to change but also to drive
it.
4.
Structure of
training
• Realtime training with internship certification.
• 200 hours of both ONLINE & OFFLINE training.
• Training with real-time industry experts.
• AI mock interviews.
• Great IT infrastructure.
• End to end MINI & MAJOR projects.
• Soft skills sessions.
• Live projects with real-time corporate
environment.
• Regular monitoring and follow-up with the
students.
5.
Communication Skills
Mastery Program
•Interview skills.
• Mastering self-introduction.
• Body language proficiency.
• Building resumes.
• Writing effective emails.
• Refining presentation skills.
.
• Telephone etiquette.
• Improving conversational skills.
• Participating in Scrum sessions.
• Basic public speaking skills.
• Voice modulation
6.
Data Analyst CourseCurriculum
Excel for Data Analysis
• Introduction to Excel and Basics of Spreadsheets
• Excel Formulas and Functions
• Data Entry, Data Validation, and Conditional Formatting
• Sorting, Filtering, and Data Cleaning Techniques
• Working with Tables and Data Ranges
• Pivot Tables and Pivot Charts
• Advanced Formulas (VLOOKUP, INDEX, MATCH)
• Introduction to Macros and VBA
• Data Visualization (Charts and Graphs)
• Practical Exercises and Case Studies
7.
SQL for DataAnalysts
• Introduction to Databases and SQL
• Basic SQL Queries (SELECT, WHERE, ORDER BY)
• Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
• Grouping Data with GROUP BY and HAVING
• SQL Joins (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN)
• Subqueries and Nested Queries
• Data Manipulation (INSERT, UPDATE, DELETE)
• Creating and Modifying Tables (CREATE, ALTER, DROP)
• Indexes, Views, and Stored Procedures
• Practical Exercises and Case Studies
8.
Power BI forData Analysis
• Introduction to Power BI and Interface Overview
• Connecting to Various Data Sources (Excel, SQL, Web)
• Data Transformation and Cleaning with Power Query Editor
• Creating and Customizing Visuals (Bar Charts, Line Graphs, Maps)
• Building Interactive Dashboards and Reports
• Creating Calculated Columns, Measures, and Basic DAX Functions
• Power BI Service (Publishing, Sharing, and Collaboration)
• Power BI Mobile and Power BI Report Server
• Power BI Interface & Data Connections
• Connecting to Data Sources (Excel, SQL, Web, etc.)
• Data Transformation and Cleaning (Power Query Editor)
• Practical Exercises and Case Studies
• DAX Basics (Data Analysis Expressions)
• Advanced DAX Functions
• Data Modeling & DAX Basics
• Data Visualization & Reports
• Creating and Customizing Visuals
• Building Interactive Dashboards and Reports
9.
Python for DataAnalysis
• Introduction to Python and Basic Syntax
• Data Types, Variables, and Basic Operations
• Control Structures: if, for, while Loops
• Functions and Modules in Python
• Working with Lists, Tuples, and Dictionaries
• File Handling (Reading and Writing Files)
• Error Handling and Exception Management
• Understanding Try, Except, Else, and Finally Blocks
• Raising and Catching Custom Exceptions
• Handling Multiple Exceptions
• Introduction to NumPy for Arrays and Basic Operations
• Advanced NumPy Operations
• Introduction to Pandas (DataFrames and Series)
• Practical Exercises and Case Studies
• Exploratory Data Analysis (EDA) with Pandas
• Descriptive Statistics: Mean, Median, Mode, Std, etc.
• Data Grouping, Aggregation, and Pivot Tables
• Data Visualization with Pandas (Basic Plots)
• Advanced Pandas Techniques
• Merging, Joining, and Concatenating DataFrames
• Reshaping Data: Pivot, Unpivot, Stacking
• Time Series Analysis and DateTime Operations
10.
Matplotlib & IntegratedProjects
• Introduction to Matplotlib and Basic Plots (Line, Bar, Scatter)
• Customizing Plots (Labels, Legends, Colors)
• Advanced Plots (Histograms, Pie Charts, Heatmaps)
• Plotting Data from Pandas DataFrame
• Project 1 - Excel Data Analysis Project
• Project 2 - SQL Data Querying Project
• Project 3 - Power BI Dashboard Project
• Project 4 - Python Data Analysis Project
• Project 5 - Integrating Python and SQL for Data Solutions
• Final Project Presentation and Feedback
Achievements
in over 20+MNC’s we have placed
our
students.
1000+
Students got placed
We have placed over 1000 above
students in many MNC’s and startups
with good packages
20+
MNC’s we have placed in
Empowering individuals to achieve their full potential
through customized learning paths and expert
guidance, our training institute turns dreams into
reality.