Data Analytics Course In Kerala

Since almost all businesses, regardless of size or industry, rely on data-driven insights to make educated decisions, the digital world is currently bursting with data. Naturally, this indicates that the need for experts who can evaluate, interpret, and visualize data is growing rapidly; in other words, there is a growing need for data analysts and professionals with a keen understanding of data. This is the ideal time to enter the industry if you have always been interested in finding patterns in data, resolving challenging issues, and assisting companies in making better decisions. You can start your journey toward financial independence and put your career on the correct track by enrolling in a thorough data analytics course from a recognized and trustworthy institution.With expertise in the most potent programming languages, data analytics tools, and visualization strategies, you will be in great demand by businesses in a variety of sectors to turn unprocessed data into insights that can be used to achieve success.

Our data analytics course is intended to help you become a skilled data professional by refining your technical abilities and analytical thinking. This course will enable you to succeed in the data-driven world and open doors to intriguing employment prospects, regardless of your level of experience.

Top Skills You Will Learn

  1. Python Programming Language
  2. Statistics
  3. Python Libraries-Numpy,pandas,matplotlib
  4. Machine Learning for Data Training
  5. Excel for Data Versatility 
  6. My SQL for Data Querying
  7. Power Bi and Tableau  For Data Visualization
  8. AI Tools for Data Analysis

Job Opportunities

  1. Data Analyst
  2. Business Analyst
  3. Data Engineer
  4. Data Visualization Engineer

Who can Learn

  1. Freshers with basic programming language
  2. Working professionals who looking to upskils
  3. Entrepreneurs and Business owners 
  4. Individuals looking to transition into a new field or industry.

Why Futura Labs

Data analytics stands out as a top method to transform unstructured data into valuable insights that drive business growth. People working in different fields can apply it to spot trends, identify patterns, and make choices based on data. Yet good data analysis needs more than just basic math skills. It requires a strong understanding of statistics, ways to show data , coding, and the ability to make sense of data in line with business aims.

Our Data Analytics Course will teach you the basics of data analysis. You’ll use tools like Python, SQL, and Excel to work with real-world datasets. You’ll learn to clean, study, and display data. The course also covers advanced topics such as machine learning and ways to predict outcomes. What’s more, you’ll become skilled at creating clear dashboards and data visuals. For this, you’ll use leading tools in the field like Tableau and Power BI.

The skilled trainers at Futura Labs in Kochi and Calicut create an exciting learning environment and give you the tools to thrive in the data analytics field. You’ll gain hands-on experience and confidence to excel in the tough data analytics world through real projects, actual case studies, and expert guidance. This course will prepare you for a successful data analytics career helping you to support companies in reaching their goals with data-based insights, no matter your skill level.

DIPLOMA IN DATA ANALYTICS WITH AI - 4 MONTHS

  • Introduction to python
  • Python features
  • Environment setup and setting path
  • Python environmental variables
  • Python Identifiers
  • Reserved words
  • Python variables
  • Standard data types
  • Time module
  • Frozen set
  • Data type conversion
  • Operators
  • Decision making Statements
  • Loops
  • Loop control Statements
  • Functions
  • Lambda Function
  • Modules
  • File handling
  • Directory and file management
  • Python oops
  • Constructors
  • Inheritance and types
  • Polymorphism
  • Encapsulation
  • Data abstraction
  • Method overloading
  • Method overriding
  • Operator Overloading
  • Python errors & exception handling
  • Introduction to DBMS
  • Relational and non-relational DBMS
  • Introduction to mysql
  • DDL -Data definition language
  • DML –Data manipulation language
  • DCL –Data control language
  • TCL –Transfer control language
  • DQL –Data query language
  • Constraints
  • Aggregation functions
  • Wild cards
  • Aliases
  • Joins
  • Function
  • Introduction to excel
  • Sheet and workbook
  • Absolute cell references
  • Built-in functions
  • Data validation
  • Time and date calculations
  • Text to columns
  • Conditional formatting
  • Exploring styles and clearing
  • Lookup functions
  • Index-match function
  • Pivot Table
  • Arithmetic functions
  • Logical functions
  • Pivot charts
  • Charts
  • Legend
  • Creating Dashboard
  • Introduction to tableau
  • Connect data
  • Data source
  • Worksheet
  • Formats
  • Visualizations
  • Calculated fields
  • Sets
  • Groups
  • Pages and Filters
  • Marks
  • Dashboard
  • Storytelling
  • Introduction to power bi
  • Overview: Power BI concepts
  • Report View
  • Report Page settings
  • Visualizations
  • Filters
  • Buttons and bookmarks
  • DAX function
  • Table view
  • Model view
  • Power query editor
  • Query settings
  • Dashboard
  • SDLC Models
  • Agile principles
  • Scrum management
  • Scrum Vs Traditional Project Management
  • Role of Generative AI in analytics
  • Generative AI and its role in SQL
  • Automating dashboards with GenAI prompts.
  • Power BI Copilot
  • Excel GPT
  • Conversational analytics with Tableau and GenAI
  • Visualization using power bi
  • Insights using tableau

ADVANCED DIPLOMA IN DATA ANALYTICS WITH AI - 7 MONTHS

  • Introduction to statistical analysis
  • Quantitative and qualitative data
  • Variable
  • Descriptive statistics
  • Inferential statistics
  • Population and sample
  • Probability
  • Probability distribution
  • Range
  • Skewness
  • Kurtosis
  • Hypothesis testing
  • Random variable
  • Diagrams
  • Cleaning dataset
  • Imputation techniques
  • Correlation and regression
  • Introduction to python
  • Python features
  • Environment setup and setting path
  • Python environmental variables
  • Python Identifiers
  • Reserved words
  • Python variables
  • Standard data types
  • Time module
  • Frozen set
  • Data type conversion
  • Operators
  • Decision making Statements
  • Loops
  • Loop control Statements
  • Functions
  • Lambda Function
  • Modules
  • File handling
  • Directory and file management
  • Python oops
  • Constructors
  • Inheritance and types
  • Polymorphism
  • Encapsulation
  • Data abstraction
  • Method overloading
  • Method overriding
  • Operator Overloading
  • Python errors & exception handling
  • Introduction to python libraries
  • Introduction to numpy
  • Numpy arrays
  • Operations on arrays
  • Indexing & slicing
  • Numpy functions
  • Pandas
  • Introduction to pandas
  • Data manipulation
  • Series
  • Data frames
  • Importing and exporting files
  • Basic functions
  • Date range
  • Group by
  • Merging
  • Concatenation
  • Pivot table
  • Contingency table
  • Matplotlib
  • Introduction to Matplotlib
  • Different Types of Charts
  • Bar chart
  • Line Chart
  • Scatter Chart
  • Pie Chart
  • Data Wrangling and Manipulation
  • Standardization
  • Normalization
  • Regression and classification
  • Linear Regression
  • Logistic Regression
  • Random Forest
  • Decision Trees
  • K Nearest Neighbor
  • Introduction to DBMS
  • Relational and non-relational DBMS
  • Introduction to mysql
  • DDL -Data definition language
  • DML –Data manipulation language
  • DCL –Data control language
  • TCL –Transfer control language
  • DQL –Data query language
  • Constraints
  • Aggregation functions
  • Functions
  • My SQL wildcards
  • My SQL aliases
  • My SQL joins
  • Practical illustration
  • Introduction to power bi
  • Overview: Power BI concepts
  • Report View
  • Report Page settings
  • Visualizations
  • Filters
  • Buttons and bookmarks
  • DAX function
  • Table view
  • Measure tools
  • Model view
  • Constraints
  • Power query editor
  • M language
  • Add column
  • Transform
  • Query settings
  • Dashboard
  • Introduction to excel
  • Sheet and workbook
  • Excel shortcuts
  • Cell settings
  • Absolute and relative references
  • Built-in functions
  • Data manipulation
  • Sparklines
  • Data validation
  • Time and date calculation
  • Text to columns
  • Conditional formatting
  • Exploring styles and clearing
  • Lookup Functions
  • Arithmetic functions
  • Logical functions
  • Index-match function
  • Pivot table
  • Pivot chart
  • Charts
  • Legend
  • Creating dashboard
  • Data summarization
  • Advanced dashboard creation
  • Visual basic
  • Introduction to tableau
  • Tableau interface
  • Tableau essentials
  • Connecting to data sources
  • Page settings
  • Creating visualizations
  • Filter groups
  • Formulas in tableau
  • Worksheet
  • Interactive charts
  • Different types of charts
  • Calculated field
  • Sets
  • Groups
  • Parameter
  • Advanced visualization
  • Dashboard design and layout
  • Data analysis
  • Storytelling
  • Introduction to Looker
  • Data exploration in Looker
  • Data visualization & Dashboards
  • Looker API & Integration
  • Advanced Looker Features
  • Introduction to R Program
  • R Data Types
  • Variables and Assignment
  • Vectors,Lists,Matrices,
  • Data Frames,Factors.
  • Operators in R
  • Basic Visualizations
  • SDLC Models
  • Agile principles
  • Scrum management
  • Scrum Vs Traditional Project Management
  • Role of Generative AI in analytics
  • Generative AI and its role in SQL
  • Automating dashboards with GenAI
  • Prompts
  • Power BI Copilot
  • Excel GPT
  • Conversational Analytics with Tableau and GenAI
  • Visualization using power bi
  • Insights using tableau
  • Dashboard using Excel
batchNext Batch
2
April
(Offline & Online)
20
April
(Offline & Online)
23
April
(Offline & Online)
DurationDuration
4 Months, 6 Days a Week, 3 Hours/day
FeeCourse Fees
DurationDuration
7 Months, 6 Days a Week, 3 Hours/day
FeeCourse Fees

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    Talk To Our Advisor

    Talk To Our Advisor

    Have questions, ideas, or just want to say hello? We'd love to hear from you! Reach out to us by filling up your contact details, and let's start a conversation.

      Frequently Asked Questions

      To assist businesses in making data-driven decisions, data analytics training offers the methods and resources needed to evaluate unprocessed data and derive insightful information. It addresses a number of data analysis topics, such as machine learning, statistical analysis, data cleaning, and visualization.
      To succeed as a data analyst, one needs to acquire a variety of technical, mathematical, creative, and people abilities. A background in computer programming, data visualization, spreadsheet software, statistics, communication, narrative, and time management may be necessary for this.
      Designing and managing databases and data systems, including resolving coding errors and other issues pertaining to data. data mining from primary and secondary sources, followed by data reorganization in a machine-readable or human-readable format.
      Your seniority, where you live in India, and other variables may affect this. There is a great demand for data analysts. The need for these workers has led to a 45% surge in data analyst jobs on the Indian market, with an estimated 97,000 positions going unfilled each year.
      Prospects for Data Analytics in India by 2025 and Beyond AI and machine learning will be heavily integrated with data science in the future. These technologies will improve predictive skills, automate complex analysis, and offer deeper insights into vast datasets, all of which will improve data analytics.
      Among other things, data analytics courses usually include specific software like Tableau or PowerBI as well as technologies like Excel, MySQL, and Python.
      Although it can be helpful to have a basic understanding of numbers, our course is created to suit both novices and experts.
      In any skill, when you're strong with the fundamentals, you learn quickly and master it faster. And software development is no exception. If you build solid foundations, you can learn advanced concepts, languages and frameworks easily. So we recommend that you learn right from fundamentals at Futura Labs even though you have undergone training at another learning program. It is because you learn programming in a nonconventional way here that helps you develop the thinking patterns of a world-class developer.
      Yes, we provide both offline and online courses in Kerala on data analytics, so you may select the one that best suits your needs. Administration and optimization of databases.
      Data visualization facilitates faster decision-making by presenting complex data in an understandable visual style. You will gain knowledge about creating dashboards, graphs, and charts. Using programs like Tableau and Power BI, create interactive data reports.
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