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1. Python for Data Science

  • Python Basics: Variables, Expressions, Conditions, Loops

  • Data Structures: Lists, Tuples, Strings, Sets, Dictionaries

  • File Handling & Functions: I/O operations, Function arguments, Lambda

  • Object-Oriented Programming: Classes, Inheritance, Constructors, Decorators

  • Modules & Exceptions: sys, os, math, datetime, JSON, regex, error handling

  • NumPy: Arrays, indexing, operations, matrix calculations

  • Pandas: Series, DataFrames, data cleaning, merging, joins, dataset exploration


2. Data Science & Statistics

  • EDA (Exploratory Data Analysis): Analytics stages, CRISP-DM, data types, correlation

  • Feature Engineering: Feature creation and transformation techniques

  • Statistics: Probability distributions, Central Limit Theorem, hypothesis testing


3. Machine Learning

  • Regression: Linear Regression, Logistic Regression

  • Classification: KNN, SVM, Decision Trees

  • Ensemble Methods: Bagging, Boosting, Random Forest, Stacking

  • Time Series: Components, visualization, ARIMA model

  • Clustering: Distance measures, linkage, dendrogram

  • Dimensionality Reduction: PCA, SVD

  • Market Basket Analysis: Association rules, lift ratio


4. Deep Learning

  • Neural Networks: Perceptron, MLP, activation functions, gradient descent

  • Advanced Models: CNN (images), RNN (sequence data)

  • Deep Learning Tools: Theano, Torch


5. Data Visualization

  • Basic Charts: Bar, Histogram, Pie, Box, Scatter, Line

  • Advanced Charts: Pair plot, Word cloud, Radar chart, Waffle chart


6. Natural Language Processing (NLP)

  • Text mining, Bag of Words, DTM/TDM

  • TF-IDF, Word Clouds


7. SQL

  • Database basics and table creation

  • Data retrieval (SELECT, WHERE, ORDER BY)

  • Joins, Subqueries, Unions

  • Data analysis with SQL and Python


8. Excel

  • Data cleaning and large spreadsheet handling

  • Functions (VLOOKUP, IF, COUNTIFS, SUMIFS)

  • Pivot Tables, Charts, Power Query


9. Tableau

  • Data visualization and dashboards

  • Data blending and filtering

  • Charts, calculated fields, parameters

  • Forecasting, clustering, and mapping


Training highlights:

  • 100% Practical Training + Live projects
  • In House Placements
  • Training by experienced mentors cum developers.
  • Daily assignments & notes will be provided.

About ToXSL:

  • Tremendous Growth Opportunity!!
  • Work with the newest and most cutting edge technologies!
  • High Visibility, Autonomous Role in a Collaborative Environment!
  • Outstanding Work/Life Balance!
  • Competitive Compensation, Benefits, and other Perks!!

Company Details

TOXSL TECHNOLOGIES PRIVATE LIMITED, India


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Highlights

We are the Best.

in-house placement

Competitive Stipend

Gain valuable skills while earning a handsome stipend. Transform your learning experience into tangible financial rewards!

in-house placement

Scholarships

We have special scholarships for meritorious students on our training programs. Invest in your future without breaking the bank!

in-house placement

8-Hours Training

Dive deep into our 8-hours extensive training sessions. Master essential skills and knowledge in a single, focused industry experience!

in-house placement

In-house Placement

We offer in-house placement options for well-deserving candidates who have the zeal to learn and grow in the development sector.

Hands-on Experience

Hands-on Experience

We have numerous sets of 3 months and 6 months industrial training programs under which the candidates can enroll for the most suitable ones.

Learning from Industry Experts

Learning from Industry Experts

Trainees often work under the guidance of experienced professionals who provide mentorship and share their industry insights.

technologies

Exposure to Latest Technologies

IT companies often work with cutting-edge technologies. Trainees get exposure to these technologies, tools, and frameworks that are currently in demand in the industry.

liveproject

Live Project-based Learning

Trainees are usually assigned to projects where they apply their skills to solve real problems. This project-based learning approach enhances their problem-solving abilities and project management skills.

feedback

Feedback and Evaluation

Trainees receive feedback on their performance and progress throughout the training period. This helps them identify areas for improvement and grow professionally.

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