Data Science and Analysis Training Course

Data Science and Analysis Course

Data science otherwise known as business intelligence has created a widespread impact across various sectors. In areas like healthcare, education, security, sports, energy, and science, the application of data science has created a lot of opportunities for innovation and improvement. Scientific studies rely on data sets to measure and analyze scientific goals, for example, healthcare recommendations, identifying and predicting diseases, personalized healthcare support via AI and machine learning, etc,

This is a certified course and guarantees 100% job interview assistance. Learners including freshers, computer science or other engineering graduates, and working professionals from companies take up data science and analysis course and learn  both basic and advanced concepts designed in this comprehensive data science course syllabus. 

This data science syllabus includes a comprehensive curriculum, which is designed on the basis of what most industries want from data science professionals. The data science syllabus is suitable for beginners, working professionals, or someone who wants to switch over to a career in data science. 

SGL’s data science modules are a complete roadmap for you to prepare yourself for a great career. 

This course is also open to beginners without any prior knowledge of data science or coding experience. 

The key modules covered in this course are :

• Programming with R
• Programming With Python
• Data Analysis With Microsoft Power Bi
• Data Analysis With Microsoft Excel

Course Content

Module 1: Data Science with R

Gain the career-building R skills you need to succeed as a data scientist. No prior coding experience required. In this track, you’ll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher.

Through interactive exercises, you’ll get hands-on with some of the most popular R packages.

In this introduction to R course, you'll master the basics of this widely used open source language—including vectors, factors, lists, and data frames. With the coding skills you'll gain in this course, you'll be ready to undertake your own data analysis in R.

Course outline

Lesson 1— Introduction to Business Analytics

Lesson 2— Introduction to R Programming

Lesson 3— Data Structures

Lesson 4—Data Visualization

Lesson 5— Statistics for Data Science – I

Lesson 6— Statistics for Data Science – II

Lesson 7— Regression Analysis

Lesson 8— Classification

Lesson 9— Clustering

Lesson 10—Association

Module 2: Data Science With Python

Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Unlike other Python tutorials, this course focuses on Python specifically for data science. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses

Python is the most important and necessary topic that every data scientist should have knowledge about. In this section, our instructors will take you through the basics of Python and areas where it can be used. You will learn how to use some of the current tools such as Numpy, Pandas, and Matplotlib.

Outline :

• Introduction to Python: What Is Python, Installing Python, IDLE & Python Shell
• Variables and Assignment Statements
• Built-in Functions
• User-Defined Functions
• Conditional Logic: if, else, and elif Statements
• Loops
• Lists
• Strings
• File Input/Output
• Internet Data: API
• Data Structures: Tuple, Lists of Lists, Dictionary, JSON & XML
• Object Oriented Programming (OOP): Principles of OOP
• Python Web Development using Django
• Introduction to Data Analysis
• Python for Data Analysis using NumPy
• Python for Data Analysis using Pandas
• Introduction to Data Visualization
• Python for Data Visualization using Matplotlib
• SQL
• Microsoft Excel
• Working with CSV Files
• Data Mining
• Web Scraping using Beautiful Soup
• Project

Module 3: Data Analytics in Power BI

Enhance your reports with Power BI's Exploratory Data Analysis (EDA). You'll start by using descriptive statistics to spot outliers, identify missing data, and apply imputation techniques to fill gaps in your dataset.

You’ll then learn how EDA in Power BI can help you discover the relationships between variables—both categorical and continuous— by using basic statistical measures and box and scatter plots.

Learning Objectives

In this course, you will analyze data with Microsoft Power BI. You will:

Analyze data with self-service BI.

Connect to data sources.

Perform data cleaning, profiling, and shaping.

Visualize data with Power BI.

Enhance data analysis by adding and customizing visual elements.

Model data with calculations.

Create interactive visualizations.

Use advanced analysis techniques.

Enhance reports and dashboards.

Publish and share reports and dashboards.

Extend Power BI beyond the desktop.

• Course outline
  
    Get Started with Microsoft Data Analytics
  
    Prepare Data in Power BI
  
    Clean, Transform, and Load Data in Power BI
   
    Design a Data Model in Power BI
   
    Create Model Calculations using DAX in Power BI
   
    Optimize Model Performance in Power BI
   
    Create Reports in Power BI
    Create Dashboards in Power BI
   
    Enhance reports for usability and storytelling in Power BI
   
    Perform Advanced Analytics in Power BI
   
    Manage Datasets in Power BI
   
    Create and Manage Workspaces in Power BI
   

Module 4:

Data Analytics Using Microsoft Excel : Beginner, Intermediate and Advanced Training Course

Excel is the world’s most popular data analysis tool. Companies and institutions worldwide use it to transform mountains of raw data into clear insights. Strong Excel skills can open new career paths, make you more employable in various industries, and save hours in your daily tasks.

In this course, you’ll develop employable data analyst skills, starting with the Excel basics, what it can do, and the data analysis steps you should follow.

• Course Outline
• Microsoft Office Excel: Beginner (Proficiency Level)

• Course Objectives:

• This Microsoft Excel Level 1 training organized by SGL technologies will introduce you to the features and power of Microsoft Excel, giving you a solid footing in a professional course that you will find very useful in your career and in your daily activities.

• Course Content

• Lesson 1: Getting Started with Excel

• Topic 1A: Identify the Elements of the Excel Interface

• Topic 1B: Navigate and Select Cells in Worksheets

• Topic 1C: Customize the Excel Interface

• Topic 1D: Create a Basic Worksheet

• Lesson 2: Performing Calculations in an Excel Worksheet

• Topic 2A: Create Formulas in a Worksheet

• Topic 2B: Insert Functions in a Worksheet

• Topic 2C: Reuse Formulas

• Lesson 3: Modifying an Excel Worksheet

• Topic 3A: Edit Worksheet Data

• Topic 3B: Find and Replace Data

• Topic 3C: Manipulate Worksheet Elements

• Lesson 4: Modifying the Appearance of a Worksheet

• Topic 4A: Apply Font Properties

• Topic 4B: Add Borders and Colors to Cells

• Topic 4C: Align Content in a Cell

• Topic 4D: Apply Number Formatting

• Topic 4E: Apply Cell Styles

• Lesson 5: Managing an Excel Workbook

• Topic 5A: Manage Worksheets

• Topic 5B: View Worksheets and Workbooks

• Lesson 6: Printing Excel Workbooks

• Topic 6A: Define the Page Layout

• Topic 6B: Print a Workbook

• Microsoft Office Excel : Intermediate (Specialist Level)

• Course Objectives:

• The Intermediate level will expand your knowledge of Microsoft excel greatly. Microsoft Excel level 2 has many capabilities, and there are lots to learn, which many professionals who thought they knew much about Excel are not even aware of. 

Course Content

• Lesson 1: Calculating Data with Advanced Formulas

• Topic 1A: Apply Cell and Range Names

• Topic 1B: Calculate Data Across Worksheets

• Topic 1C: Use Specialized Functions

• Topic 1D: Analyze Data with Logical and Lookup Functions

• Lesson 2: Organizing Worksheet and Table Data

• Topic 2A: Create and Modify Tables

• Topic 2B: Format Tables

• Topic 2C: Sort or Filter Data

• Topic 2D: Use Functions to Calculate Data

• Lesson 3: Presenting Data Using Charts

• Topic 3A: Create a Chart

• Topic 3B: Modify Charts

• Topic 3C: Format Charts

• Lesson 4: Analyzing Data Using PivotTables, Slicers, and PivotCharts

• Topic 4A: Create a PivotTable Report

• Topic 4B: Filter Data Using Slicers

• Topic 4C: Analyze Data Using PivotCharts

• Lesson 5: Inserting Graphic Objects

• Topic 5A: Insert and Modify Pictures and ClipArt

• Topic 5B: Draw and Modify Shapes

• Topic 5C: Illustrate Workflow Using SmartArt Graphics

• Topic 5D: Layer and Group Graphic Objects

• Lesson 6: Customizing and Enhancing the Excel Environment

• Topic 6A: Customize the Excel Environment

• Topic 6B: Customize Workbooks

• Topic 6C: Manage Themes

• Topic 6D: Create and Use Templates

• Microsoft Office Excel : Advanced (Expert Level )

• Course Objectives:

• The Microsoft Excel Advanced level course will extend your basic and intermediate knowledge of Excel, and develop more skills and knowledge that you need to produce worksheets as you require them. 

Course Content

Lesson 1: Streamlining Workflow

• Topic 1A: Update Workbook Properties

• Topic 1B: Create a Macro

• Topic 1C: Edit a Macro

• Topic 1D: Apply Conditional Formatting

• Topic 1E: Add Data Validation Criteria

Lesson 2: Collaborating with Other Users

• Topic 2A: Protect Files

• Topic 2B: Share a Workbook

• Topic 2C: Set Revision Tracking

• Topic 2D: Review Tracked Revisions

• Topic 2E: Merge Workbooks

• Topic 2F: Administer Digital Signatures

• Topic 2G: Restrict Document Access

Lesson 3: Auditing Worksheets

• Topic 3A: Trace Cells

• Topic 3B: Troubleshoot Invalid Data and Formula Errors

• Topic 3C: Watch and Evaluate Formulas

• Topic 3D: Create a Data List Outline

Lesson 4: Analyzing Data

• Topic 4A: Create a Trendline

• Topic 4B: Create Sparklines

• Topic 4C: Create Scenarios

• Topic 4D: Perform a What-If Analysis

• Topic 4E: Perform a Statistical Analysis with the Analysis ToolPak

Lesson 5: Working with Multiple Workbooks

• Topic 5A: Create a Workspace

• Topic 5B: Consolidate Data

• Topic 5C: Link Cells in Different Workbooks

• Topic 5D: Edit Links

Lesson 6: Importing and Exporting Data

• Topic 6A: Export Excel Data

• Topic 6B: Import a Delimited Text File

• Topic 6C: Import and Export XML Data

Lesson 7: Integrating Excel Data with the Web

• Topic 7A: Publish a Worksheet to the Web

• Topic 7B: Import Data from the Web

• Topic 7C: Create a Web Query

Why SGL?

• Over Thirty ( 30) Highly Experienced Certified and AccreditedTrainers
• Best Rated Training Company onReddeals
• Optimized TrainingBudget
• Customized TrainingContent
• Standard and Vendors’ Approved Course wares
• Both Classroom, On-Site and Virtual Training Options
• Capacity to deliver training at various locations across thecountry
• Breakfast and LunchServed
• High Speed Internet Connectivity Available for delegates
• Hotel accommodation onrequest
• Pick and drop from the airport to the center on arriva  onrequest