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Trainer

15 yrs exp

Duration

70 Days

Recordings

120 Hrs

Material

Reading and LAB guide

Online LAB

Server 24x7 available

Course Overview

A premier Data Science Training Institute in Hyderabad offers industry-aligned courses in data analysis, machine learning, statistics, and programming, empowering students to tackle real-world challenges with data-driven solutions.
  • Master Data Science Fundamentals: Build a solid foundation in core concepts like data collection, cleaning, exploration, and analysis tailored to Hyderabad’s thriving tech ecosystem.
  • Excel in Statistical Analysis & Probability: Gain expertise in statistical methods, probability theory, hypothesis testing, and modeling essential for data-driven roles.
  • Proficient Data Handling & Visualization: Master data manipulation using Python (Pandas, NumPy) and create impactful visualizations with Matplotlib and Seaborn.
  • Implement Machine Learning Algorithms: Learn and apply supervised/unsupervised algorithms including regression, classification, clustering, and dimensionality reduction.
  • Develop Robust Predictive Models: Build, evaluate, and fine-tune models while understanding overfitting, underfitting, and cross-validation techniques.
  • Navigate Big Data Tools: Get hands-on with Hadoop, Spark, and cloud platforms to manage large-scale datasets efficiently.
  • Communicate Insights Effectively: Learn to present data stories through reports, dashboards, and presentations for technical and business audiences in Hyderabad’s startup and IT hubs.

✅ Real-time case studies | ✅ Practical hands-on labs | ✅ Certification Guidance  

Who should go for this training?
The following professionals can go for this course:

  • Anyone who are willing to transform their careers for trending Jobs of 21st Century

What are the pre-requisites for this Course?

  • Laptop/Desktop with at least 8 GB of RAM, good capacity Hard Drives and good internet connectivity.
  • No programming knowledge needed, foundational knowledge will be provided

Course Overview

Course Content

  • What is Data Analytics vs Data Science vs Business Intelligence
  • Roles and responsibilities: Business Analyst, Data Analyst, BI Developer
  • Analytics workflow: Data collection → Analysis → Visualization → Insights → Action
  • Real-world case studies from industry (finance, retail, e-commerce, healthcare)
  • Career paths and salary benchmarks in analytics
  • Installing Python, Jupyter Notebook, VS Code
  • Package managers: pip, conda
  • Setting up virtual environments
  • Introduction to IDE best practices
  • Language fundamentals: variables, data types, operators
  • Control flow: if-else, loops (for, while)
  • String manipulation and formatting
  • Lists, tuples, dictionaries for data handling
  • Functions: defining, parameters, return values
  • NumPy arrays vs Python lists: performance benefits
  • Array creation, indexing, slicing
  • Mathematical operations on arrays
  • Broadcasting concepts
  • Statistical functions (mean, median, std, percentile)
  • Practical: Working with multi-dimensional datasets
  • Series and DataFrame fundamentals
  • Creating DataFrames from CSV, Excel, SQL databases
  • Indexing and selecting data
  • Viewing and inspecting data (head, tail, info, describe)
  • Handling missing values (dropna, fillna, interpolation)
  • Removing duplicates
  • Data type conversions
  • Handling outliers
  • Filtering and sorting
  • Groupby operations and aggregations
  • Pivot tables and crosstabs
  • Merging, joining, concatenating DataFrame
  • DateTime handling
  • Resampling and rolling windows
  • Trend analysis
  • Understanding data distribution
  • Identifying patterns and relationships
  • Statistical thinking for analysts
  • Types of analysis: univariate, bivariate, multivariate
  • Hypothesis formation from data exploration
  • Figure and axis objects
  • Line plots, bar charts, histograms, scatter plots
  • Customization: colors, markers, line styles
  • Legend, labels, titles, annotations
  • Grid and axis formatting
  • Multiple plots: subplots and figure layouts
  • Statistical visualization concepts
  • Categorical plots: bar, box, violin, strip plots
  • Distribution plots: histograms, KDE plots
  • Relationship plots: scatter, regression plots, heatmaps
  • Color palettes and styling
  • FacetGrid for multi-dimensional analysis

  • Plotly basics: interactive charts and hover information
  • Creating dashboards with Streamlit
  • Deploying Streamlit apps to cloud (Streamlit Cloud, Heroku)
  • Real-time data updates
  • Dashboard best practices
  • Principles of data visualization
  • Choosing the right chart for the message
  • Narrative structure: context, conflict, resolution
  • Presenting insights to non-technical stakeholders
  • Creating compelling business report
  • Central tendency: mean, median, mode
  • Spread: range, variance, standard deviation, IQR
  • Skewness and kurtosis
  • Outlier detection and handling (IQR method, Z-score)
  • Weighted statistics
  • Fundamentals: sample space, events, probability rules
  • Conditional probability and Bayes' theorem
  • Independence and dependence
  • Real-world application scenarios
  • Sampling concepts and distributions
  • Confidence intervals: for mean and proportion
  • Hypothesis testing: null vs alternative hypotheses
  • T-tests, Z-tests, chi-square tests
  • P-values and significance levels
  • Type I and Type II errors
  • Correlation: Pearson, Spearman, Kendall
  • Scatter plots and relationship identification
  • Simple linear regression: model interpretation
  • R² and RMSE for model evaluation
  • Residual analysis
  • Experiment design and setup
  • Sample size calculation
  • Statistical significance testing
  • Business impact vs statistical significance
  • Case studies: marketing, product optimization
  • SELECT, WHERE, ORDER BY, LIMIT
  • Filtering with AND, OR, NOT, IN, BETWEEN
  • DISTINCT and COUNT
  • GROUP BY and aggregation functions (SUM, AVG, MAX, MIN, COUNT)
  • HAVING clause
  • INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN
  • Self-joins and multiple joins

  • Subqueries and CTEs (Common Table Expressions)
  • Window functions: ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD
  • Date functions and time-based analysis
  • CASE statements for conditional logic
  • Customer segmentation queries
  • Cohort analysis
  • Funnel analysis
  • Revenue analysis and trends
  • Practice: Real-world dataset analysis
  • Objective: Analyze a real-world dataset and present business insights
  • Phases:
  •   1. Data sourcing and initial exploration
  •   2. Data cleaning and preparation
  •   3. EDA with statistical analysis
  •   4. Hypothesis testing and validation
  •   5. Creating visualization dashboard
  •   6. Business recommendations and ROI impact
  • Deliverables:
  •   Cleaned dataset with documentation
  •   Jupyter notebook with analysis
  •   Interactive dashboard (Streamlit or Plotly)
  •   Executive summary report
  •   Presentation to stakeholders
  • Example Projects:
  •   Customer retention analysis (e-commerce)
  •   Sales trends and forecasting (retail)
  •   User behavior analysis (SaaS platform)
  •   Healthcare outcome analysis
  • Languages: Python 3.9+
  • Data Manipulation: Pandas, NumPy
  • Visualization: Matplotlib, Seaborn, Plotly, Streamlit
  • Databases: SQL (MySQL, PostgreSQL)
  • Notebooks: Jupyter, Google Colab
  • Deployment: Streamlit Cloud, GitHub

  • POWER BI TOOLS and PROJECTS 

Modes of Training

Akswave_classroom

Classroom Training

Lives interactive sessions delivered in our classroom by our expert trainers with real-time scenarios.

Akswave_Online

Online Training

Learn from anywhere over internet, joining the live sessions delivered by our expert trainers.

Akswave_Selfpaced

Self-Pace Training

Learn through pre-recorded video sessions delivered by experts with your own pace and timings

For Coporate Training, We provide customized content and delivered by industry experts with complete practical demonstration, discussions and exercises based on practical use cases.

Our Key Highlights

Unique Benefits included in this training

  • BEST TRAINER : Having 15 yrs exp and delivered more than 60 batches
  • QUALITY CONTENT : Covers in-depth and industry-relevant advance topics.
  • LAB ACCESS : Practice hands-on with dedicated online servers, anytime, anywhere.
  • BEST PRICE : Best value training at a competitive price.
  • SESSION RECORDINGS : Access to session recordings for easy revision.
  • REAL-TIME SCENARIOS : Learn through practical scenarios and live projects.
Key Benefits

Upcoming Batches

CLASSROOM TRAINING

This Course Includes:
  • Delivered by our experts having 15 yrs exp
  • 70 Virtual online sessions
  • Access for 120 of Recorded videos
  • Reading material and Lab activity guide
  • 24x7 dedicated online AksWave server access
  • 160 Hrs of Lab practices
  • 100% practical-oriented classes
  • Real-time projects and certification guidance
  • Get certificate on course completion
  • Job assistance
  • Technical support thru chat and email
03-Mar

8:30am to 10:00am IST

60 Days (Mon-Fri)

06-Mar

8:30am to 10:00am IST

60 Days (Mon-Fri)

24-Mar

10:00am to 11:30am IST

90 days (Mon-Fri)

Course Fee : 36,000/-

Discount : ₹ 10,000/- (28%)

Offer Price : 26,000/-

ONLINE TRAINING

This Course Includes:
  • Delivered by our experts having 15 yrs exp
  • 70 Virtual online sessions
  • Access for 120 of Recorded videos
  • Reading material and Lab activity guide
  • 24x7 dedicated online AksWave server access
  • 160 Hrs of Lab practices
  • 100% practical-oriented classes
  • Real-time projects and certification guidance
  • Get certificate on course completion
  • Job assistance
  • Technical support thru chat and email
03-Mar

7:00pm to 8:30am IST

60 Days (Mon-Fri)

06-Mar

7:00pm to 8:30am IST

60 Days (Mon-Fri)

Not yet scheduled

Not yet scheduled

Not yet scheduled

Course Fee : 45,000/-

Discount : ₹ 15,000/- (33%)

Offer Price : 30,000/- $331

SELF-PACED LEARNING

This Course Includes:
  • Access for 120 hours of Recorded videos
  • Reading material and Lab activity guide
  • 24x7 dedicate online AksWave server access
  • 160 hours of Lab practices
  • Real-time projects and certification guidance
  • Technical support thru chat and email

25,000/-

Our Instructor

Demo Video

No Video Found

No Demo Video

Certification Guidence

No Records Found

Faq

Each of our live sessions are recorded. In case if you miss any, you can request us to share the link of that particular session.

Once you get registered, our back-end team will share you the details to join the session live over online portal which can be accessed through a browser.

For practical execution, our trainer/technical team will provide server access details to the student.

Yes. We do provide the step-by-step document which you can follow and if required our technical team will assist you.

Live-Online training is where you can have live session with the trainer and clarify queries parallely.

Pre-recorded sessions are the recorded videos that will be provided to you that you can see, listen and learn anytime at ur feasible place. For doubts in the videos you can mail the trainer regarding the same.

You can contact our support team, or just drop an email to online@akswave-trainings.com with your queries.

The course material and recorded videos which are provided during the course period. You can download it anytime.

Visit our website regularly to check discount offers time to time. However, we provide discount for single participant & special discount for 2 or more participants.

* If request for cancellation is made within 2 days of enrolment for class, 100% refunded.

* If request made after 2 days, then Refund is made after deduction of administration fee.

Combo Offers

Pay less and learn more with our best combo courses. Avail more discount on multiple top trending technologies

Testimonials

Manoj Kumar

4 years ago

I recently took Oracle RAC training from Akswave. Akal Sir is one of the best teacher for Oracle RAC. I learned lot of concepts, understood well and he cleared many of my doubts too. His explanation and presentation is better and easy to understand. About online Lab environment its good and the Co-ordinators are very helpful in clearing my doubts. I personally enjoyed and learned many new things in AKSWAVE.

Ravi Krishna

4 years ago

I have taken classes from Akswave Oracle Training and I gained excellent knowledge in Oracle DBA , Oracle RAC and APPs from there. I recommend people who wants better future in Oracle DBA, join Akswave. Lets see when the GoldenGate classroom training will start, I like to join.

Azjad Hussain

5 years ago

Akswave Oracle Training is one of the best institute in Ameerpet, comparing to other institutes in terms of Lab Infrastructure , helping nature faculties and the amazing skilled Mr Akal singh. Now waiting for cloud training to be started.

Google Ratings

4.6

Facebook Ratings

4.9

Twitter Ratings

4.8