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best data analytics training course in vadodara

Data Analytics Training Course in Vadodara

 

 

Unlock the power of data with our industry-focused Data Analytics Training Course in Vadodara, specially designed for beginners and non-programmers. Master in-demand tools and concepts such as ETL/ELT processes, data cleaning, data visualization, and business intelligence. Get hands-on training in leading software like Excel, Power BI, SQL and Python. This course is your gateway to becoming a job-ready data analyst perfect for career switchers, freshers, and professionals aiming to upskill in the rapidly growing field of data analytics.

Starts from ₹30,000 ₹5000

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    3 Months

    120 hours of
    study

    Beginner

    No prior experience
    required.

    Certificate

    Certificate of
    completion

    Job Placement

    Be Job-ready after
    learning

    What Will You Learn in Data Analytics Training Course

    Learning
    • The course provides the complete preparation you need to become a data analyst.
    • Acquire a big-picture understanding of the data analyst role.
    • Learn beginner and advanced Python.
    • Study mathematics for Python.
    • We will teach you NumPy and pandas, basics, and advanced.
    • Understand different data types and their memory usage.
    • Learn how to obtain interesting, real-time information from an API with a simple script
    • Clean data with pandas Series and DataFrames.
    • Complete a data-cleaning exercise on the absenteeism rate.
    • Expand your knowledge of NumPy – statistics and preprocessing.
    • Master data visualization.
    • Learn how to create pie, bar, line, area, histogram, scatter, regression, and combo charts.
    • Engage with coding exercises that will prepare you for the job.
    • Practice with real-world data.
    • Solve a final capstone project.

    Course Content

    • What is a programming language?
    • Python interpreter
    • Python versions
    • Advantages of Python language
    • Different ways to run Python code
    • Write your first Python program
    • Multiline Print Statement and Comments in Python
    • Uses & applications of Python in different domains
    • Variables
    • Data Types
    • User-Input
    • Operators
    • Python Control Statements
    • Introduction to Conditional statement Types
    • Types of Loops
    • For Loop
    • While Loop
    • Loops with a conditional statement
    • Infinite Loop
    • Nested Loop
    • Break and continue statement
    • Introduction to strings in Python
    • Indexing
    • Slicing
    • Iteration
    • String functions
    • Introduction to lists
    • Iteration
    • Slicing
    • List Functions
    • Introduction to sets
    • Iterations
    • Set methods
    • Introduction to tuples
    • Iterations
    • Function
    • Making tuples mutable
    • Iterations
    • Dictionary Functions
    • Nested Dictionaries
    • Introduction
    • Types
    • Parameters
    • Arguments
    • Args Kwargs Recursion
    • 2 Projects on Python
    • Introduction to Pandas
    • Installing Pandas
    • Pandas Series
    • Coding: Pandas Series
    • Pandas DataFrames- Working with Rows and Columns
    • Pandas DataFrames: Filtering Data
    • Coding: Filtering Data
    • Reading and Analysing CSV Files with Pandas
    • Coding: Reading and Analysing CSV Files
    • Reading Excel Files: GroupBy and Other Useful Operations
    • Working with Missing Data
    • Coding: Working with Missing Data
    • Test Your Knowledge: Pandas
    • Introduction to NumPy
    • 1-D Array
    • 2-D Array
    • Indexing
    • Slicing
    • Concatenating
    • Broadcasting
    • Statistical functions
    • Arithmetic functions
    • Introduction to Python Visualization Libraries
    • Installing Plotly
    • Creating Scatter Plots
    • Creating Line Charts
    • Line Charts
    • Creating Basic Bar Charts
    • Creating Grouped and Stacked Bar Charts
    • Creating Pie Charts
    • Pie Charts
    • Creating Histograms
    • Introduction to SQL
    • Installation
    • Datatypes in MySQL
    • Creation of a Database
    • Tables
    • Insert Query
    • Delete Query
    • Select Query
    • Update Query
    • Joins in Database
    • Functions in Database
    • Advance concepts in DataBase
    • Overview of Microsoft Excel and Its Importance
    • Data Import and Export (CSV, Text Files)
    • Navigating the Excel Interface (Ribbons, Worksheets, Cells)
    • Basic Formulas and Functions (SUM, AVERAGE, IF)
    • Data Cleaning
    • Formatting (Borders, Colors, Conditional Formatting)
    • Working with Tables and Filters
    • Introduction to Charts (Bar, Line, Pie)
    • PivotTables Basics: Summarizing Data
    • What is Microsoft Power BI?
    • The Significance of Business Intelligence (BI) Tools
    • Key Applications of BI Tools
    • Navigating the Power BI Layout and Dashboards
    • Understanding the ETL/ELT Process
    • Services Provided by Power BI
    • Logic and Use of Different Visualizations (Maps, Line Charts, Bar Graphs, etc.)
    • Hands-on Mini Projects (3 projects to apply concepts)
    • Storytelling through Data & Smart Visualizations
    • Fundamentals of DAX Programming
    • Understanding and Creating Key Performance Indicators (KPIs)
    • Integrating Web Services and PowerPoint with Power BI
    • A Comprehensive Data Analysis Project using Python, MySQL, and Power BI
    Critical thinking and problem-solving Data cleaning and preprocessing Data mining Data modeling Data visualization Machine learning Predictive analytics Programming languages and tools Statistical analysis

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    Frequently Asked Questions

    Data analyst salaries vary in India! Experience plays a big role. Freshers might see ₹4-5 lakhs, while mid-level analysts (2-4 yrs) can earn ₹6-8 lakhs. Senior analysts (5+ yrs) with strong skills command even higher salaries (₹8+ lakhs).
    Data analysis unlocks hidden insights. It involves cleaning, examining, and interpreting data to answer questions, solve problems, and inform better decisions. Businesses use it to understand customers, optimize marketing, and improve efficiency.
    Data analysts bridge data and actionable insights, skilled in data acquisition, cleaning, and analysis. They use statistical methods to identify trends, translating complex data into clear reports and visualizations for informed business decisions across functions.
    The best data analytics course for you will depend on your current skill level, experience, and goals. At eCare Upskill Institute, we offer a range of courses from beginner to advanced levels. The Business and Data Analytics course is designed for those with a basic understanding of data analysis who are looking to enhance their skills and deepen their knowledge.The Data Analyst course in Vadodara is specifically tailored to the needs of those working in the area, enabling them to quickly gain the skills and qualifications they need to excel in the field. these courses provide students with the necessary skills and knowledge to become successful data analytics professionals.
    Data Analytics courses are courses that teach students how to use data analysis to identify trends and patterns in data sets. They cover topics such as database management, data mining, machine learning, data visualization, and statistical modeling. Students learn how to interpret data and use it to make informed decisions.
    Yes, data analytics is a very good career choice, especially with the right training and qualifications.The eCare Upskill Institute offers a training by experts and placements, which can help you get started in this field and give you the necessary skills and knowledge to succeed.
    The four types of data analytics are:
    1. Descriptive Analytics
    2. Diagnostic Analytics
    3. Predictive Analytics
    4. Prescriptive Analytics
    At eCare Upskill Institute, we offer a full-fledged Data Analytics Course with Placement and Data & Analytics Training. This course covers all four types of data analytics, providing you with the necessary knowledge and skills to become an expert in the field.
    The scope of data analytics is vast and can be applied to many industries and fields.
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