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IT TRAINING
IT TRAINING
Welcome to the world of Data Analysis! In this comprehensive course, you’ll embark on a journey to master the fundamentals of data analytics, one of the most valuable and fast-growing fields in today’s digital era. Starting with the basics of data collection, cleaning, and visualization, you’ll progress to explore more advanced concepts such as statistical analysis, business intelligence, and predictive analytics. The course will guide you through practical applications, including working with Excel, SQL, Power BI, and Python libraries like Pandas and Matplotlib. Whether you’re a beginner aspiring to enter the analytics field or a professional aiming to sharpen your skills, this course will equip you with the knowledge and hands-on experience needed to turn raw data into meaningful insights. Get ready to unlock the power of data and become a proficient Data Analyst capable of driving smarter business decisions!
Machine Learning Training Schedule
10% OFF , Save ₹5,000
Easy to Learn, Powerful to Apply
Data Analysis is one of the most in-demand skills in today’s job market. With our certification, you’ll master tools like Excel, SQL, Python, and Power BI to collect, clean, and visualize data. From uncovering business insights to supporting data-driven decisions, you’ll gain the expertise companies are looking for — opening doors to careers in business intelligence, analytics, and data science
High Demand & Job-Ready Skills
Data analysts are highly sought-after in Surat and across the globe. By completing this certification, you’ll gain practical, job-ready skills in Excel, SQL, Python, and visualization tools like Power BI. From analyzing trends to presenting insights that drive business decisions, your expertise will give you a strong edge in today’s data-driven job market.
Strong Community Support and Resources
Data Analysis thrives on a dynamic and expanding community that offers a wealth of resources, tools, and best practices. By enrolling in a certification course, you gain structured learning while also leveraging the collective expertise of analysts, data scientists, and industry professionals worldwide. This support system ensures access to tutorials, open-source datasets, case studies, and discussion forums, making your learning journey more practical, collaborative, and impactful.
Machine Learning Course Syllabus
What is Python, and why use it?
Installing Python and using an IDE (IDLE / VS Code)
Writing and running the first Python program
Python syntax, indentation, and comments
Variables & data types
Input/Output (input(), print())
Operators (arithmetic, comparison, logical, assignment)
Type conversion & casting
If, else, elif
Nested if
Loops: for, while
Break, continue, pass
Strings & string functions
Lists, Tuples, Sets, Dictionaries
List comprehensions
Defining functions, return values
Arguments (default, keyword, variable-length)
Lambda functions
Importing and creating modules
Using built-in modules (math, random, datetime)
Opening, reading, and writing files
Working with CSV & JSON files
Exception handling (try, except, finally, raise)
Classes and objects
Constructors & destructors
Inheritance, polymorphism, encapsulation
Method overriding
What is Data Analytics
Roles (Analyst vs Scientist)
Types of Analytics
Tools (Excel, SQL, Python, BI)
Functions & formulas
Sorting, filtering
Pivot tables & charts
Simple dashboards
Basics of databases (tables, keys, relationships)
SQL queries: SELECT, WHERE, ORDER BY
Joins (INNER, LEFT, RIGHT)
Aggregations (GROUP BY, COUNT, SUM, AVG)
Python basics
NumPy, Pandas
Data cleaning
Grouping & merging
Principles of good visualization
Visualization with Python (Matplotlib, Seaborn, Plotly)
Introduction to Power BI / Tableau
Building interactive dashboards & KPIs
Descriptive statistics (mean, median, std deviation)
Correlation & regression basics
Hypothesis testing (t-test, chi-square)
A/B testing & decision making
Missing values, duplicates
Outliers handling
Encoding categorical data
Normalization & scaling
Building a Data Analyst portfolio (projects, dashboards)
Resume & LinkedIn optimization
Interview preparation
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