Data Analytics for Mechanical Engineers
Master's Program
About Courses
All course - 3 monthsEinNel paid Training program for fresh Engineers is the launch pad for entry-level job roles in EinNel Technologies. During the 6-month job training at the end of which a job is assured for those who complete the program successfully, candidates undergo 6 months of on job training, will work on live global projects in EinNel Technologies. The program goes beyond merely training - it opens viable career options that accelerate professional growth in the Automotive industry. Students who successfully complete the training program are assured to employed in EinNel Technologies.
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STEP 1
BASIC SQL
Introduction to SQL | DDL & DML Statement | SELECT Statement AGGREGATE functions | WHERE, ORDER BY, DISTINCT, GROUP BY, LIKE, AND & OR clause | UPDATE & DELETE query
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STEP 2
ADVANCED SQL - PART 1
JOINS | UNION, UNION ALL, INTERSECT | Using VIEWS & INDEXES | Sub Queries | NULL values & DATE function
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STEP 3
INTRO TO PYTHON
Jupyter Environment | Pseudocode | Using Print () | Wrong usage of print() | Variables | Creating a variable | Reassign a variable | Multiple variable assignment | Data Types | Data type conversion (Implicit) | Data type conversion (Explicit) | Arithmetic Operations | String Operations | Boolean Operations | String handling | Concatenation | If-else, loops
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You'll get:
PYTHON OBJECTS
What is Tuple? | Creating tuple | Tuple operations | Tuple: In-built function | What is a list? | Creating a list | List operations | List: In-built functions | List Joins | What is a dictionary? | Dictionary operations | Dictionary in-built functions | Conditional statements: if else | Conditional statements: nested if
NUMPY
What is python numpy | Functions to create array | Numpy operations - dtypes, size, shape, reshape, itemsize | Indexing array | Slicing array | Arithmetic operations on array | Arithmetic functions on array - sum(), min() | Concatenation of Arrays
PANDAS
Python pandas | Data structures | What is series? | Creating a series | Manipulating series | Usage if .loc and .iloc | What is a dataframe? | Creating a dataframe
DATA FRAME MANIPULATION
Manipulating dataframes | Indexing a dataframe | Read data from various sources | Concatenate the dataframes | Merge using inner join | Merge using outer join | Merge using right join | Merge using left join | Reshape using melt() function | Check for duplicates
VISUALIZATION
Plots using Matplotlib | Line plot | Scatter plot | Bar plot | Pie plot | Histogram | Box plot | Plots using Seaborn | Strip plot | Pair plot | Distribution plot | Count plot | Heatmap
EDA
Summary Statistics | Missing Value Treatment | Dataframe analysis using groupby() | Advanced Data Explorations
Qlik sense course contains
- Introduction to the Qlik Sense tool and data loading
- Planning and designing data modeling
- Advanced data modeling, set analysis, and variables
- Qlik Sense Desktop
- Constructing the master library in Qlik Sense
Course teachers
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Albert Einstein
Founder & CEO -
Nelson Joseph
Co-founder & CTO -
Merlin Shakila
Technical Executive, Software -
Ashwin Daniel
Business Development Executive
Registration
The intensive course is now open, You will receive detailed information on admission by mail immediately after registration
Price: ₹50,000 + GST
our consultant will contact you to clarify further details