Introduction to Data Science
Introduction to Data Science
Prime Skills of 2023 | 80% OFF | Massive Discount
- Learn the Basics of Business Analysis
- Learn Python Programming Language From Scratch to the Advanced Level
- Learn Everything About Ms Excel and Its Features, From Basic Formulas to Using Advanced Stuff for Data Analysis
- Power BI's Complete ETL Process - Data Integration, Transformation, Modelling and Visualization
About the Program
About the Program
Whether you are a beginner in Data Science and want to explore more about it or you want to transition into this multifaceted field, this programme will help you understand Data Science more by exploring the basic Data Science concepts.
Data Science is the field that helps in extracting meaningful insights from data using programming skills, domain knowledge, and mathematical and statistical knowledge. It helps to analyze the raw data and find hidden patterns.
Therefore, a person should be clear with statistics concepts, machine learning, and a programming language such as Python or R to be successful in this field
Almost every business, from retail to finance and banking, requires the assistance of data science specialists to collect and analyze insights from their datasets. You may utilize data science skills to further your data-centric career in two ways. You can either become a data science professional by pursuing professions such as data analyst, database developer, or data scientist, or transfer into an analytics-enabled role such as a functional business analyst or a data-driven manager
12 Month Access
12 hrs 51 mins
112 Lessons
27 Handouts
12677 Subscribers
Assured Certification
12 Month Access
12 hrs 51 mins
112 Lessons
27 Handouts
12677 Subscribers
Assured Certification
PROGRAM STRUCTURE
PROGRAM STRUCTURE
- What is Business Analytics? 10:06 min + PDF
- Stages and Life Cycle of the Business Analytics 00:56 min + PDF
- Stage 1: Data Management 05:16 min + PDF
- Stage 2: Reporting 04:14 min + PDF
- Stage 3: Analysis and Insights 02:18 min
- Stage 4: Predictive Analysis 07:17 min + PDF
- Stage 5: Prescriptive Analysis 02:57 min + PDF
- Different Segments of Analytics 08:48 min + PDF
- Industry Based Practice Tools 08:46 min + PDF
- What is Data? 01:43 min
- Difference Between Structured and Unstructured Data 09:48 min + PDF
- How to find the relevant Data- The Refugee Camp Case Part 1 13:02 min
- How to find the relevant Data- The Refugee Camp Case Part 2 09:41 min
- 5Vs of Big Data 11:24 min + PDF
- Analytics Offerings for Various Industry Needs 02:59 min + PDF
- Value Chain BFSI 04:42 min + PDF
- Value Chain Travel 007:14 min + PDF
- Telecom Value Chain 05:14 min + PDF
- CPG & Retail Value Chain 11:37 min + PDF
- Media Value Chain 06:00 min + PDF
- Energy, Resources and Utilities Value Chain 07:43 min + PDF
- Healthcare and Life science Value Chain 08:39 min + PDF
- Manufacturing Value Chain 07:27 min + PDF
- Analytics Offering for Industry Needs: Summary 02:14 min + PDF
- Part 1: What Is Python 06:21
- Part 2: Features of Python 06:22
- Part 3: Fields Where Python Is Used 02:52
- Part 1: Intro to Google Colab 03:56
- Part 2: Writing Your First Program 03:45
- Part 1: Arithmetic Operator 07:15
- Part 2: Assignment Operator 03:34
- Part 3: Conditional Operator 05:49
- Part 4: Logical Operator 07:06
- Assignment and Solution
- Part 1: Syntax Error 04:10
- Part 2: Logical Error 03:59
- Part 1: What Are Keywords ? 03:26
- Part 2: What Are Identifiers ? 02:24
- Part 3: Rules for Writing Identifiers 03:33
- Part 1: What Are Data Types ? 05:51
- Part 2: Type Casting and Its Types 06:00
- Assignment and Solution
- Part 1: String Functions 10:01
- Part 1: What Are Lists ? 06:55
- Part 2: What Are Tuples ? 03:46
- Part 3: What Are Dictionaries ? 04:32
- Part 1: What Is if-else ? 05:21
- Part 2: What Is Elif ? 05:43
- Assignment and Solution
- Part 1: For Loop 05:15
- Part 2: While Loop 04:55
- Part 1: Break Statement 05:16
- Part 2: Continue Statement 04:35
- Part 1: What Are Functions and It’s Types 02:56
- Part 2: Built-in Functions 03:06
- Part 3: User-defined Functions 03:56
- Part 4: Docstrings 04:35
- Assignment and Solution
- Part 1: What Are Try and Except Functions 07:59
- Part 1: What Are Global Variables 05:23
- Part 2: What Are Local Variables 03:55
- Part 1: What Are Lambda Functions 06:31
- Part 1: What Is Recursion 06:35
- Part 2: Example for Recursion 04:28
- Part 1: if __name__ == “__main__” Explanation 06:27
- Assignment and Solution
- Part 1:Secure Your Password Using Python 10:33
- Summary
- Introduction to the Course 06:36
- Concept: Introduction to MS Excel 06:27
- Mindset: Why To Learn MS Excel For Data Science & AI 08:15
- Tour To MS Excel 06:05
- Basics Of MS Excel 14:28
- Intermediate Level Of MS Excel 19:19
- Advanced Level Of MS Exce 11:24
- Practice & Exercise and Important Resources 04:12
- Data Visualization In MS Excel: Types of Charts 02:49
- Data Visualizations In MS EXCEL-Part 1 12:24
- Data Visualization In MS EXCEL-Part 2 03:43
- EDA Hands On Tutorial In MS Excel-Part 1 17:42
- EDA Hands On Tutorial In MS Excel-Part 2 07:33
- Linear Regression: Fundamentals 23:26
- Limitations Of Machine Learnings With MS Excel 02:09
- Power BI Overview 11:54
- Business Scenario 07:40
- Walkthrough: Home ribbon 06:34
- Walkthrough: Report, Data and Model Section 06:53
- Integration from multiple data sources 06:35
- Data preparation 03:09
- Split columns | Fill down | Column from examples 06:01
- Remove rows | Transpose 03:17
- Append Queries | Add Conditional Column 07:25
- Optimizing the Data Model 06:52
- Setting up relationships 10:15
- Cross Filter Direction 06:33
- Top N Analysis 07:29
- Competitor Analysis – Creation of Groups | Treemap visual 06:26
- YoY Analysis with drilldown capabilities 08:23
- Slicer | Creation of hierarchies 06:18
- Measures vs Calculated Columns 08:10
- This year vs last year analysis 12:12
- % Growth Calculation 06:19
- Conditional formatting 04:39
- Using .JSON themes 06:39
- Trend Analysis and using images 06:52
- Creation of bookmarks to present your story 06:43
- Adding buttons for navigation 07:48
- Adding toggle buttons using Selection Pane and Bookmark Pane 07:02
- Adding Background | Azure Maps | Text boxes | Logo 14:02
- Decomposition tree 05:38
- Smart narrative 06:16
- Key Influencers 05:57
- Quick Insights 05:45
- Custom report tooltip 05:47
- Drillthrough 05:35
- Introduction to Power BI Service 08:52
- Performance analyzer 02:58
- Export the report to Excel 04:08
Earn a Certificate
Earn a Certificate
After finishing the course, you will get a Certificate of Completion.
Demonstrate Your Commitment
Be a growth-driven professional and advance your
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