Best Institute for Data Analyst Certification Course with Placement Training Classes
Turn Business Data into Actionable Insights and Make Smarter Decisions with Practical Analytics Skills.
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Thane
Mumbai
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Data Analytics Course Syllabus
Turn Complex Business Data into Simple, Actionable Insights
- Excel: Basics to Advanced
- MySQL
- Tableau
- Power BI
- Introduction
- MS office Versions(similarities and differences)
- Interface(latest available version)
- Row and Columns
- Keyboard shortcuts for easy navigation
- Data Entry(Fill series)
- Find and Select
- Clear Options
- Ctrl+Enter
- Formatting options(Font,Alignment,Clipboard(copy, paste special))
- Referencing, Named ranges,Uses,Arithemetic Functions
- Mathematical calculations with Cell referencing(Absolute,Relative,Mixed)
- Functions with Name Range
- Arithmetic functions(SUM,SUMIF,SUMIFS,COUNT,COUNTA,COUNTIFS,AVERAGE,AVERAGEIFS,MAX,MAXIFS,MIN,MINIFS)
- Logical functions
- Logical functions:IF,AND,OR,NESTED IFS,NOT,IFERROR
- Usage of Mathematical and Logical functions nested together
- Referring data from different tables: Various types of Lookup, Nested IF
- LOOKUP
- VLOOKUP
- NESTED VLOOKUP
- HLOOKUP
- INDEX
- INDEX WITH MATCH FUNCTION
- INDIRECT
- OFFSET
- Advanced functions
- Combination of Arithmatic
- Logical
- Lookup functions
- Data Validation(with Dependent drop down)
- Date and Text Functions
- Date Functions:DATE,DAY,MONTH,YEAR,YEARFRAC,DATEDIFF,EOMONTH
- Text Functions:TEXT,UPPER,LOWER,PROPER,LEFT,RIGHT,SEARCH,FIND,MID,TTC, Flash Fill
- Data Handling::Data cleaning, Data type identification, Remove Duplicates, Formatting and Filtering
- Number Formatting(with shortcuts)
- CTRL+T(Converting into an Excel Table)
- Formatting Table
- Remove Duplicate
- SORT
- Advanced Sort
- FILTER
- Advanced Filter
- Data Visualization: Conditional Formatting, Charts
- Conditional formatting(icon sets/Highlighted colour sets/Data bars/custom formatting)
- Charts:Bar,Column,Lines,Scatter,Combo,Gantt,Waterfall,pie
- Data Summarization: Pivot Report and Charts
- Pivot Reports:Insert,Interface,Crosstable Reports;Filter,Pivot Charts,
- Slicers:Add,Connect to multiple reports and charts
- Calculated field, Calculated item
- Data Summarization: Dashboard Creation, Tips and Tricks
- Dashboard:Types,Getting reports and charts together, Use of Slicers.
- Design and placement: Formatting of Tables,Charts,Sheets,Proper use of Colours and Shapes
- Connecting to Data: Power Query, Pivot, Power Pivot within Excel
- Power Query: Interface, Tabs
- Connecting to data from other excel files, text files, other sources
- Data Cleaning
- Transforming
- Loading Data into Excel Query
- Connecting to Data: Power Query, Pivot, Power Pivot within Excel
- Using Loaded queries
- Merge and Append
- Insert Power Pivot
- Similarities and Differences in Pivot and Power Pivot reporting
- Getting data from databases, workbooks, webpages
- VBA and Macros
- View Tab
- Add Developer Tab
- Record Macro:Name,Storage
- Record Macro to Format table(Absolute Ref)
- Format table of any size(Relative ref)
- Play macro by button
- shape
- as command(in new tab)
- Editing Macros
- VBA:Introduction to the basics of working with VBA for Excel: Subs, Ranges, Sheets
- Comparing values and conditions
- if statements and select cases
- Repeat processes with For loops and Do While or Do Until Loops
- Communicate with the end-user with message boxes and take user input with input boxes, User Form
- Introduction to Mysql
- Introduction to Databases
- Introduction to RDBMS
- Explain RDBMS through normalization
- Different types of RDBMS
- Software Installation(MySQL Workbench)
- SQL Commands and Data Types
- Types of SQL Commands (DDL,DML,DQL,DCL,TCL) and their applications
- Data Types in SQL (Numeric, Char, Datetime)
- DQL & Operators
- SELECT
- LIMIT
- DISTINCT
- WHERE AND
- OR
- IN
- NOT IN
- BETWEEN
- EXIST
- ISNULL
- IS NOT NULL
- Wild Cards
- ORDER BY
- Case When Then and Handling NULL Values
- Usage of Case When then to solve logical problems and handling NULL Values (IFNULL, COALESCE)
- Group Operations & Aggregate Functions
- Group By
- Having Clause
- COUNT
- SUM
- AVG
- MIN
- MAX
- COUNT String Functions
- Date & Time Function
- Constraints
- NOT NULL
- UNIQUE
- CHECK
- DEFAULT
- Primary key
- Foreign Key (Both at column level and table level)
- Joins
- Inner
- Left
- Right
- Cross
- Self Joins
- Full outer join
- DDL
- Create
- Drop
- Alter
- Rename
- Truncate
- Modify
- Comment
- DML & TCL Commands
- DML
- Insert
- Update & Delete
- TCL
- Commit
- Rollback
- Savepoint
- Data Partitioning
- DML
- Indexes and Views
- Indexes (Different Type of Indexes)
- Views in SQL
- Stored Procedures
- Procedure with IN Parameter
- Procedure with OUT parameter
- Procedure with INOUT parameter
- Function, Constructs
- User Define Function
- Window Functions
- Rank
- Dense Rank
- Lead
- Lag
- Row_number
- Union, Intersect, Sub-query
- Union, Union all
- Intersect
- Sub Queries, Multiple Query
- Exception Handling
- Handling Exceptions in a query
- CONTINUE Handler
- EXIT handler
- Triggers
- Triggers - Before | After DML Statement
- Introduction to Tableau
- What is Tableau ?
- What is Data Visulaization ?
- Tableau Products
- Tableau Desktop Variations
- Tableau File Extensions
- Data Types, Dimensions, Measures, Aggregation concept
- Tableau Desktop Installation
- Data Source Overview
- Live Vs Extract
- Basic Charts & Formatting
- Overview of worksheet sections
- Shelves
- Bar Chart, Stacked Bar Chart
- Discrete & Continuous Line Charts
- Symbol Map & Filled Map
- Text Table, Highlight Table
- Formatting: Remove grid lines, hiding the axes, conversion of numbers to thousands, millions, Shading, Row divider, Column divider
- Marks Card
- Filters
- What are Filters ?
- Types of Filters
- Extract, Data Source, Context, Dimension, Measure, Quick Filters
- Order of operation of filters
- Cascading
- Apply to Worksheets
- Calculations
- Need for calculations
- Types: Basic, LOD's, Table
- Examples of Basic Calculations: Aggregate functions, Logical functions, String functions, Tablea calculation functions, numerical functions, Date functions
- LOD's: Examples
- Table Calculations: Examples
- Data Combining Techniques
- What is Data Combining Techniques ?
- Types
- Joins, Relationships, Blending & Union
- Custom Charts
- Dual Axis
- Combined Axis
- Donut Chart
- Lollipop Chart
- KPI Cards (Simple)
- KPI Cards (With Shape)
- Groups, Bins, Hierarchies, Sets, Parameters
- What are Groups ? Purpose
- What are Bins ? Purpose
- What are Hierarchies ? Purpose
- What are Sets ? Purpose
- What are Parameters ? Purpose and examples
- Analytics & Dashboard
- Reference Lines
- Trend Line
- Overview of Dashboard: Tiled Vs Floating
- All Objects overview, Layout overview
- Dashboard creation with formatting
- Dashboard Actions & Tableau Public
- Actions: Filter, Highlight, URL, Sheet, Parameter, Set
- How to save the workbook to Tableau Public website ?
- Power BI Introduction and Installation
- Understanding Power BI Background
- Installation of Power BI and check list for perfect installation
- Formatting and Setting prerequisits
- Understanding the difference between Power BI desktop & Power Query
- The Power BI user interface, including types of data sources and visualizations
- Getting familiar with the interface BI Query & Desktop
- Understanding type of Visualisation
- Loading data from multiple sources
- Data type and the type of default chart on drag drop.
- Geo location Map integration
- Sample dashboard with Animation Visual
- Finanical sample data in Power BI
- Preparing sample dashboard as get started
- Map visual Types and usages in different variation
- Understanding scatter Plot chart with Play axis and the parameters
- Power BI artificial intelligence Visual
- Understanding the use of AI in power BI
- AI analysis in power bi using chart
- Q&A chat bot and the use in real life
- Hirarchy tree
- Power BI Visualization
- Understanding Column Chart
- Understanding Line Chart
- Implementation of Conditional formating
- Implementation of Formating techniques
- Power Query Editor
- Loading data from folder
- Understanding Power Query in detail
- Promote header, Split to limiter, Add columns, append, merge queries etc
- Modelling with Power BI
- Loading multiple data from different format
- Understanding modelling (How to create relationship)
- Connection type, Data cardinality, Filter direction
- Making dashboard using new loaded data
- Power Query Editor Filter Data
- Power Query Custom Column & Conditional Column
- Manage Parameter
- Introduction to Filter and types of filter
- Trend analysis, Future forecast
- Customize the data in Power BI
- Understanding Tool tip with information
- Use and understanding of Drill Down
- Visual interaction and customisation of visual interaction
- Drill through function and usage
- Button triggers
- Bookmark and different use and implementation
- Navigation buttons
- Dax Expressions
- Introduction to DAX
- Table Dax, Calculated column, DAX measure and difference
- Eg:- Calendar, Calendar auto, Summarize, Group by etc
- Calculated Column
- Related, Lookup value, switch, Datedif,Rankx,Date functions
- Dax Measure and Quick Measure
- Remove filters, Keep filters, All, Allselected, Time Intelligence Functions,Rolling average,YoY, Running total
- Custom Visual
- Custom visual and understanding the use of custom
- Loading custom visual, Pinning visual
- Loading to template for future use
- Publishinhg Power Bi
- Power BI Service
- Introduction to app.powerbi.com
- Schedule refresh
- Data flow and use power bi from online
- Download data as live in power point and more
- Business Statistics
- Fundamentals of R
- Fundamentals of Python
- SAS(Self Paced)
- ChatGPT
- Descriptive Statistics
- Data Types, Measure Of central tendency, Measures of Dispersion
- Graphical Techniques, Skewness & Kurtosis, Box Plot
- Probability and Normal Distribution
- Random Variable, Probability, Probility Distribution, Normal Distribution, SND, Expected Value
- Inferential Statistics
- Sampling Funnel, Sampling Variation, Central Limit Theorem, Confidence interval
- Introduction to Hypothesis Testing
- Hypothesis Testing (2 proportion test, 2 t sample t test)
- Anova and Chisquare
- Data cleaning and Insights
- Data Cleaning(Invalid cells,Blanks,Outliers,Null values)
- Imputation Techniques(Mean and Median)
- Scatter Diagram
- Correlation Analysis
- "Introduction to R,Installation of Rstudio,Data Types in R
- Data types(Numeric,Char,Logical,Complex,Vector,List,Matrix,Factor,Array,Dataframe),Relational operators,Logical operators
- Decision making statements,Loops,Functions
- If,Ifelse,For loop,While loop,Repeat,Functions
- Built in Functions in R,Joins,dplyr and ggplot2
- Merging dataframes,Analyzing Iris Dataset using apply functions,dplyr package(Filter,Sel,Arrange),Data visualization using ggplot2,Scatterplot,Histogram,Boxplot
- Anaconda Installation,Introduction to python,Data types,Opearators
- Variables,data types(integer,Boolean,Float,List,tuple,string),Opearators in python
- Data types Contd,Slicing the data,Inbuilt functions in python
- Dictionaries,Sequence methods,Concatenate,Repetition,len,min,max functions,Index position,Addition and deletion of elements,Reverse,Sorting
- Sets,Set Theory,Regular Expressions,Decision making statements
- Sets,re module(findall,search,split,match),if,elifGetting input from user,Identity Operators
- Loops,Functions,Lambda functions,Modules
- For,While loops,Functions,Lambda functions,Math module,Calender module,Date & time module
- Pandas,Numpy,Matplotlib,Seaborn
- Data frame creation using different methods,Using Pandas anlysis on Universities,Salary data sets,Visualization using Matplotlib and Seaborn,Numpy introduction
Introduction to ChatGPT and AI
- What is ChatGPT?
- The history of ChatGPT
- Applications of ChatGPT
- ChatGPT vs other chatbot platforms
- Industries using ChatGPT
- The benefits and limitations of ChatGPT
- Future developments in ChatGPT technology
- Ethical considerations related to ChatGPT and AI
Types of AI and Chatgpt architecture
- What is AI?
- Types of AI
- What is Machine Learning?
- Neural Networks
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Robotics and AI
ChatGPT Functionalities and Applications
- How does ChatGPT work?
- ChatGPT Functionalities
- Drafting emails and professional communication
- Automating content creation
- Resume and Cover letter creation
- Research and information gathering
- Brainstorming ideas and creative problem solving
- Best Practices for Using ChatGPT
ChatGPT Prompt Engineering
- What is Prompt Engineering?
- Types of Prompts
- Crafting Effective Prompts
- Using ChatGPT to generate prompt
Popular Job Guaranteed Courses
Our Data Analytics Course is designed for students, working professionals, business owners, and beginners who want to learn how to turn data into meaningful business insights. The course covers essential tools and techniques such as Excel, SQL, Power BI, data visualization, statistics, and reporting. Learners gain practical experience through real-world datasets, dashboards, and business-focused projects. Whether you are starting after college, planning a career change, or improving your current professional skills, this training helps you develop strong analytical and decision-making abilities. Build job-ready expertise, earn certification, and prepare for career opportunities in data-driven business roles.
How Does This Python for Data Analyst Course Work?
💡 Learn
Upskill yourself by gaining insights from leading professionals’ vast experience.
📝 Practice
Sharpen your skills by learning through course assignments, live projects, and regular assessments and quizzes.
❓ Ask
Resolve your queries from industry experts with our dedicated one- to-one doubt-clearing sessions.
🏆 Build
Craft a diverse portfolio and appealing resume, and optimize LinkedIn to showcase your data analytics skills.
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Statistical Analyst
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Learn Best Python Programming for Data Analytics Course in Navi Mumbai, Thane & Mumbai - Best data Analyst professional certificate Training Institute Placement & Online Classes Near Me
Build In-Demand Skills with the Best Data Analytics Course
SofTech Education offers a practical and career-focused Data Analytics Course for students, fresh graduates, working professionals, business owners, entrepreneurs and beginners who want to learn how to analyze data and make better business decisions.
Today, companies in almost every industry depend on data to understand customers, improve sales, measure performance and identify new opportunities. This growing demand has created career opportunities for professionals who understand Data Analytics tools, techniques and business reporting.
If you are searching for the best Data Analytics course, a professional Data Analytics training institute, industry-focused certification, or a full course for beginners, SofTech Education provides structured training with practical learning and real-world examples.
What is Data Analytics?
Data Analytics is the process of collecting, cleaning, organizing and analyzing data to find useful information and support decision-making.
Businesses use Data Analytics to answer questions such as:
- Which products are selling the most?
- Which customers generate the highest revenue?
- Which marketing campaigns perform better?
- Which locations are more profitable?
- Why are sales increasing or decreasing?
- What trends can help future planning?
Data Analytics is widely used in industries including IT, banking, finance, retail, healthcare, e-commerce, manufacturing, education, marketing and consulting.
Who Can Join the Data Analytics Course?
The SofTech Education Data Analytics training course is suitable for:
- College students
- Fresh graduates
- Engineering students
- Commerce students
- Management students
- Working professionals
- IT professionals
- Sales and marketing professionals
- Finance professionals
- Business analysts
- Entrepreneurs
- Business owners
- Career changers
- Complete beginners
You do not necessarily need a technical background to start learning Data Analytics. With structured guidance from an experienced Data Analytics trainer, beginners can learn the required concepts step-by-step.
What Will You Learn in the Full Data Analytics Course?
The full Data Analytics course at SofTech Education is designed to help learners move from basic concepts to practical business analysis.
Excel for Data Analytics
Learn how to organize, clean and analyze business data using Excel.
Topics may include:
- Formulas and functions
- Lookup functions
- Pivot Tables
- Data cleaning
- Charts
- Reports
- Business analysis
SQL and Databases
SQL is one of the most important skills for Data Analysts.
Students learn how to:
- Retrieve data
- Filter records
- Sort information
- Combine tables
- Create reports
- Analyze large datasets
Python for Data Analytics
Python can help analysts work with larger datasets and automate data analysis.
Learners can understand:
- Python fundamentals
- Data structures
- Data manipulation
- Data cleaning
- Data analysis libraries
Statistics
Statistics helps learners understand patterns and relationships inside data.
Important concepts can include:
- Mean
- Median
- Mode
- Percentage
- Variance
- Standard deviation
- Correlation
- Probability
Data Visualization
Data Visualization allows analysts to communicate information through dashboards and reports.
Learners can develop skills in:
- Charts
- Graphs
- Dashboards
- KPI reporting
- Trend analysis
- Business reporting
Power BI
Power BI is widely used for Business Intelligence and dashboard reporting.
Students can learn how to create interactive dashboards, analyze business performance and present important information clearly.
Practical Data Analytics Training
A good Data Analytics course should include more than theory.
At SofTech Education, the training approach focuses on practical understanding and real-world applications.
Learners can work on projects such as:
- Sales Performance Analysis
- Customer Analysis
- Marketing Campaign Analysis
- Financial Data Analysis
- Employee Performance Dashboard
- Product Performance Analysis
- Business KPI Dashboard
These projects help students understand how Data Analytics is used inside real organizations.
Data Analytics Course for Beginners
Many students and professionals search for a Data Analytics course for beginners because they want to enter the analytics field without previous experience.
A beginner-friendly learning path can be:
Excel → SQL → Statistics → Power BI → Python → Projects
This structured approach allows students to develop skills gradually and understand how different tools work together.
Data Analytics Certification
After completing the required modules, projects and assessments, learners can receive a Data Analytics certification from SofTech Education.
Certification can help strengthen a resume, but practical knowledge is equally important. Learners should be able to demonstrate their ability to analyze data, create dashboards and explain business insights.
Career Opportunities After Data Analytics Training
After completing Data Analytics training and developing practical skills, learners can explore roles such as:
- Data Analyst
- Business Analyst
- MIS Analyst
- Business Intelligence Analyst
- Reporting Analyst
- Marketing Analyst
- Financial Analyst
- Operations Analyst
- Sales Analyst
- Junior Data Analyst
Career opportunities depend on educational background, practical skills, experience and project knowledge.
Data Analytics Course for Working Professionals
Working professionals can use Data Analytics training to improve their ability to work with business information.
Professionals from sales, marketing, finance, HR, operations and management can learn how to create reports, analyze trends and make decisions based on data.
Combining industry experience with Data Analytics skills can provide additional career growth opportunities.
Data Analytics for Business Owners
Business owners and entrepreneurs can also benefit from learning Data Analytics.
Analytics can help businesses understand:
- Sales performance
- Customer behavior
- Profitability
- Marketing ROI
- Inventory performance
- Business growth
- Operational efficiency
Understanding data can help business owners make more informed and measurable decisions.
Why Choose SofTech Education for Data Analytics Training?
If you are comparing top Data Analytics training institutes, consider practical learning, trainer support, course curriculum and project exposure.
SofTech Education focuses on:
- Beginner-friendly training
- Practical Data Analytics courses
- Experienced trainer guidance
- Full course curriculum
- Real-world projects
- Excel, SQL, Power BI and Python
- Data Analytics certification
- Career-oriented training
- Learning for students and professionals
Data Analytics Course Fees
The Data Analytics course fees may depend on the selected batch, training mode, duration and course structure.
Students can contact SofTech Education for the latest information regarding Data Analytics course fees, syllabus, certification, batch timings, trainer details and course duration.
Start Your Data Analytics Career with SofTech Education
Whether you are a student completing college, a beginner looking for your first professional skill, a working professional planning career growth or a business owner wanting to understand data better, Data Analytics can be a valuable skill.
SofTech Education Data Analytics Course provides practical training in Excel, SQL, Power BI, Python, Statistics and business reporting to help learners build job-relevant analytical skills.
SofTech Education – Data Analytics Training Institute
Courses | Training | Certification | Beginners | Full Course | Practical Learning
Admissions and Enquiries Open
Contact SofTech Education for details about Data Analytics course fees, trainer, curriculum, batches and certification.
