Data Analytics Mastery – Online Interactive Course
-
ByNectar2025
Price
₹25,000
₹11,000
Get unlimited access to all learning content and premium assets Membership Pro
Description
Unlock the power of data with our hands-on, interactive online course! “Data Analytics Mastery” is designed to take you from fundamentals to advanced analytics techniques, helping you make smarter decisions, uncover insights, and drive business impact.
Through real-world examples, practical exercises, and interactive sessions, you’ll learn:
Types of Data Analytics: Descriptive, Diagnostic, Predictive, and Prescriptive
Key tools and techniques in Excel, Power BI, and Python
Statistics and Machine Learning Algorithms for data-driven insights
Data visualization, reporting, and actionable insights
Industry applications in Finance, Marketing, HR, and more
Whether you’re a beginner or looking to sharpen your analytics skills, this course equips you with job-ready, career-boosting expertise. Join now and become a confident, data-driven professional!
Course Fees : 11,000/- (after discount)
Concession is valid for limited duration.
Curriculum
Curriculum
- 7 Sections
- 63 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- 1. Data Analytics FoundationBrief Description: Start your journey in the world of data with our Data Analytics Foundation course! This program is designed for beginners who want to build a strong understanding of data analysis and develop the skills needed to make informed, data-driven decisions. In this course, you’ll learn: Fundamentals of Data Analytics and its types: Descriptive, Diagnostic, Predictive, and Prescriptive Basics of Statistics for understanding and interpreting data Introduction to Machine Learning concepts and simple algorithms Data handling and visualization using Excel, Power BI, and Python Real-world applications across Finance, Marketing, HR, and more By the end of this course, you’ll have a solid foundation in analytics and be ready to advance to intermediate and advanced levels in data science.3
- 2. Excel for Data Analytics9
- 2.12.1 Excel Basics – Interface Navigation, Data Types, Formatting, WorkBook Management, Named Ranges
- 2.22.2 Functions – I : Logical (IF, Nested IF), VLookUP, XLOOKUP, INDEX-MATCH, Text Functions
- 2.32.3 Functions – II : Date/Time functions, Math & Statistical functions (SUM, AVERAGE, COUNTIF, ROUND, RANK)
- 2.42.4 Data Cleaning : Remove duplicates, Data Validation, Text-to-Columns, TRIM, LEFT/RIGHT, Flash Fill
- 2.52.5 Pivot Tables & Charts : Creating Pivot Tables, grouping, filtering, using Slicers, generating Pivot Charts
- 2.62.6 Advanced Charts : Combo charts, Sparklines, Conditional Formatting, Dynamic Ranges, Trendlines
- 2.72.7 What-If Analysis : Scenario Manager, Goal Seek, Data Tables
- 2.82.8 Power Query in Excel : Importing external datasets, transformations, merging, error handling
- 2.92.9 Excel Capstone Project
- 3. Power BI Desktop12
- 3.13.1 Power BI Basics : Interface, connecting multiple data sources, navigating Desktop panels
- 3.23.2 Data Transformation : Cleaning, shaping, and combining datasets in Power Query
- 3.33.3 Data Modeling : Creating relationships, star schema, fact and dimension tables, hierarchies
- 3.43.4 DAX Basics : Calculated columns, basic measures, aggregation functions
- 3.53.5 DAX Advanced : Time intelligence functions, filter context, CALCULATE, SWITCH, advanced business logic
- 3.63.6 Visualizations – I : Column, Bar, Line, Pie, Tables, Cards, Matrix
- 3.73.7 Visualizations – II : KPI Cards, Maps, Hierarchies, Custom Visuals, Drill-through, Bookmarks
- 3.83.8 Filters & Interactivity : Slicers, drill-throughs, tooltips, bookmarks
- 3.93.9 Report Optimization : Layout, formatting, alignment, color theory, visualization hierarchy
- 3.103.10 Power BI Project – I
- 3.113.11 Power BI Project – II
- 3.123.12 Power BI Capstone
- 4. Statistics for Data Analytics9
- 4.14.1 Basics of Statistics : Types of data, scales of measurement, descriptive vs inferential statistics, sampling techniques
- 4.24.2 Descriptive Statistics : Measures of central tendency, variance, standard deviation, IQR, visualization of distributions
- 4.34.3 Probability : Random variables, probability distributions (Normal, Binomial, Poisson), probability rules, Bayes’ theorem
- 4.44.4 Hypothesis Testing – I : Null & alternative hypothesis, z-test, t-test
- 4.54.5 Hypothesis Testing – II : ANOVA, Chi-square, effect size, confidence intervals
- 4.64.6 Correlation & Regression – I : Simple linear regression, correlation coefficients, scatterplots
- 4.74.7 Regression – II : Multiple regression, residual analysis, multicollinearity, diagnostics
- 4.84.8 Advanced Statistical Techniques : Non-parametric tests, exploratory data analysis, outlier detection
- 4.94.9 Statistics Case Study
- 5. SQL for Data Analytics9
- 5.15.1 SQL Basics : SELECT, WHERE, ORDER BY, DISTINCT
- 5.25.2 Aggregations :GROUP BY, HAVING, COUNT, SUM, AVG, MIN, MAX
- 5.35.3 Joins – I : INNER, LEFT, RIGHT JOIN
- 5.45.4 Joins – II : FULL, SELF, CROSS JOIN
- 5.55.5 Subqueries & CTE : Nested queries, correlated subqueries, Common Table Expressions
- 5.65.6 Window Functions : ROW_NUMBER, RANK, PARTITION, LEAD, LAG, Running totals
- 5.75.7 Views & Indexing : Optimize queries, reusable views
- 5.85.8 Stored Procedures : Parameterized queries, automation of analytics tasks
- 5.95.9 SQL Capstone Project : Retail or E-commerce dataset KPI extraction and trend analysis
- 6 Python for Data Analytics11
- 6.16.1 Python Basics : Syntax, variables, data types, operators, control flow
- 6.26.2 Functions & Modules : Built-in functions, user-defined functions, importing libraries
- 6.36.3 NumPy – I : Arrays, indexing, slicing, vectorized operations
- 6.46.4 NumPy- II : Broadcasting, aggregations, matrix operations
- 6.56.5 Pandas – I : Series, DataFrames, reading/writing CSV & Excel files
- 6.66.6 Pandas – II : Data cleaning, handling missing values, duplicates
- 6.76.7 Pandas – III : GroupBy, merge, join, pivot tables, melt, wide-to-long
- 6.86.8 Visualization – I : Matplotlib (line, bar, scatter), Seaborn (heatmaps, pairplots)
- 6.96.9 Visualization – II : Advanced Seaborn, customization, color palettes, subplots
- 6.106.10 Python ML Preparation : Data preprocessing for ML, encoding, scaling, train-test split
- 6.116.11 Python Projects : EDA
- 7 Machine Learning Algorithms11
- 7.17.1 ML Introduction : Types of ML (Supervised, Unsupervised), ML workflow, business applications
- 7.27.2 Supervised ML – I : Linear Regression, Logistic Regression, evaluation metrics
- 7.37.3 Supervised ML – II : Decision Trees, Random Forest, ensemble concepts
- 7.47.4 Unsupervised ML – I : K-Means, Hierarchical Clustering
- 7.57.5 Unsupervised ML – II : PCA, dimensionality reduction, feature selection
- 7.67.6 ML Model Tuning : Hyperparameter tuning, cross-validation
- 7.77.7 Model Evaluation : Accuracy, Precision, Recall, F1-score, ROC curve
- 7.87.8 Business problem integrating Power BI Desktop, Python, SQL
- 7.97.9 Predictive analytics component using Python ML
- 7.107.10 Interactive dashboard creation in PowerBI Desktop
- 7.117.11 Report Optimization, story telling and presentation
Instructor
2 Students13 Courses
Reviews
Price
₹25,000
₹11,000
Get unlimited access to all learning content and premium assets Membership Pro
You might be interested in
-
All levels
₹5,000
-
0 Students
-
0 Lessons
-
All levels
₹5,000
-
0 Students
-
0 Lessons
This course helps learners train their minds to stay present, reduce distractions, and increase attention span through mindfulness, breathing, and...
-
All levels
₹5,000
-
0 Students
-
0 Lessons
Course Overview: This course empowers participants to manage stress effectively and prioritize mental wellness. Combining practical tools and self-awareness techniques,...
-
All levels
₹5,000
-
0 Students
-
0 Lessons
Course Overview: This course helps learners understand, develop, and apply Emotional Intelligence (EQ) in real-life personal and workplace situations. From...
-
All levels
₹5,000
-
0 Students
-
0 Lessons
Course Objectives: By the end of this course, learners will be able to: Understand the value of time and how...
₹25,000
₹11,000
Sign up to receive our latest updates
Deliver personalized staffing solutions by aligning employer needs with candidate potential, ensuring impactful, trust-based relationships.
Need some help?
Popular Services
- Recruitment Solution
- Corporate Training
- Institutional Training
- Online Training
- Resume Preparation
- Business Consulting
Sign up to receive our latest updates
Deliver personalized staffing solutions by aligning employer needs with candidate potential, ensuring impactful, trust-based relationships.
Need some help?
Get in touch
Call us directly?
+91-8939551456
contact@nectar-source.com
Address
9th Floor, Olympia Platina, Guindy Industrial Estate, Chennai, India.